Search by what the work actually is

Nano Engineering & Nanotechnology

What this division designs, who designs it, and the rule that maturity is stated in every claim.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Biology, Biotechnology & Bio-Nano Systems

Nanoscale structures that have to work in contact with living material, and what that constrains.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

One bio-nano interface studied computationally, with what the model leaves out written down.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

What this division works on, who works on it, and the rule that approvals come before work.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

The pipelines and the statistics the division's biological conclusions rest on.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 5 more

Biology, Biotechnology & Bio-Nano Systems

Materials meant for biological contact: response, degradation, and the failure the material eventually has.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

Sensing concepts developed to a limit of detection derived in a realistic sample matrix.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

A scoped biotechnology question worked through with its biosafety and ethics context stated.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

Biological questions answered computationally, with confounders addressed rather than mentioned.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

A public biological dataset analysed end to end in a pipeline that reruns from raw data.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

The division's scientific direction and the hardest problems at the biology-engineering boundary.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Biology, Biotechnology & Bio-Nano Systems

Several bio-nano programmes at once, and the ethics and safety discipline across all of them.

Scale 10^-9 m to 10^-3 m

Molecular biology to the level of explaining how a measurement in an assay relates to the underlying biology. · Has analysed a real biological dataset and stated its batch effects or confounders. · Statistics for biological data: multiple testing, effect size, and why a significant result can be meaningless. · Python or R for bioinformatics, with a reproducible pipeline. + 4 more

Nano Engineering & Nanotechnology

Devices built from nanoscale structures, characterised against the specification they were designed to.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

Nanoscale designs taken from a target to something a partner facility could attempt.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

One nanoscale design question modelled and written up with its fabrication tolerances.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

A sensing mechanism modelled to its noise floor, with the limit of detection derived rather than asserted.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

How a nanoscale component behaves once it is part of something a person can hold.

Scale 10^-9 m to 10^-3 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

A nanoscale device modelled electrically, with the contact and interface effects included rather than idealised away.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

Process development with partner facilities, and the yield data that says whether a route is real.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 7 more

Nano Engineering & Nanotechnology

A fabrication route documented step by step, with its yield-limiting step identified.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

The materials themselves: what they are, how they are made, and whether the second batch matches the first.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

Analysing characterisation data for a nanomaterial and stating what the data does and does not establish.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

An optical nanostructure simulated and its spectral response compared against an analytic limit.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more

Nano Engineering & Nanotechnology

A literature-grounded review of one nanomaterial class, separating what has been made repeatably from what has been made once.

Scale 10^-9 m to 10^-6 m

Can explain why a property changes when a material is made small, in terms of surface-to-volume ratio or quantum confinement. · Has interpreted characterisation data — microscopy, diffraction or spectroscopy — and can state what the technique cannot tell you. · Materials science to the level of relating structure to a measurable property. · Can carry out and document a calculation or an analysis in Python that somebody else can rerun. + 4 more