Search by what the work actually is

Computer Science, AI & Scientific Computing

What this division builds for the others, who builds it, and the rule that no model ships without its baseline.

Scale 10^-100 m to 10^100 m

Fluent in Python, and able to write code somebody else can read, test and extend. · Data structures and algorithms to the level of choosing correctly and justifying the choice. · Comfortable on Linux, and with Git as a working tool rather than a save button. · Has written tests for numerical code and can explain what a tolerance in a test means. + 6 more

Aerospace, Space & Extreme Environment Engineering

How one material behaves under an extreme-environment exposure, and what the data does not cover.

Scale 10^-9 m to 10^0 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Aerospace, Space & Extreme Environment Engineering

Materials for vacuum, radiation and thermal cycling, and the qualification evidence they would need.

Scale 10^-9 m to 10^0 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 4 more

Aerospace, Space & Extreme Environment Engineering

Robotic systems for environments where nobody can intervene, and the autonomy that requires.

Scale 10^0 m to 10^3 m

Orbital mechanics: can propagate a two-body orbit and explain what perturbs it. · Has run an engineering analysis for a system with mass, power and thermal constraints that trade against each other. · Understands the space environment: vacuum, radiation, thermal cycling, and what each does to hardware. · Python for mission and systems analysis. + 6 more

Mechanical, Robotics & Multi-Scale Systems

Turning a design into a repeatable process, and reporting the yield that process actually achieves.

Scale 10^-3 m to 10^3 m

Can draw a free-body diagram for a real assembly and derive its governing equations. · Solid mechanics: stress, strain, failure criteria, and which criterion applies to which material. · Has run a finite element analysis and carried out a mesh convergence study on it. · CAD to the level of producing a manufacturable part, not just a picture. + 5 more

Energy, Environment & Climate Materials

Cells and their real behaviour over life, including the failure mode that ends them.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 5 more

Energy, Environment & Climate Materials

Cycling data analysed for degradation, reporting the trend rather than the best cycle.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 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

Energy, Environment & Climate Materials

Catalysts modelled and assessed, including deactivation rather than initial activity alone.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 6 more

Civil, Structural & Macro-Scale Systems

One infrastructure system modelled, with the hazard it is being assessed against stated up front.

Scale 10^0 m to 10^6 m

Can analyse a statically indeterminate structure and check the result by an independent method. · Structural analysis: load paths, limit states, and why a code has both. · Has run a structural finite element model and validated it against hand calculation. · Construction materials: concrete, steel, and the time-dependent behaviour of each. + 4 more

Civil, Structural & Macro-Scale Systems

Infrastructure against stated climate hazards, with the hazard model and its uncertainty named.

Scale 10^0 m to 10^6 m

Can analyse a statically indeterminate structure and check the result by an independent method. · Structural analysis: load paths, limit states, and why a code has both. · Has run a structural finite element model and validated it against hand calculation. · Construction materials: concrete, steel, and the time-dependent behaviour of each. + 5 more

Energy, Environment & Climate Materials

A material for a climate application assessed against a stated environmental requirement.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 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

Civil, Structural & Macro-Scale Systems

Structural and system models at infrastructure scale, with their validation evidence.

Scale 10^0 m to 10^6 m

Can analyse a statically indeterminate structure and check the result by an independent method. · Structural analysis: load paths, limit states, and why a code has both. · Has run a structural finite element model and validated it against hand calculation. · Construction materials: concrete, steel, and the time-dependent behaviour of each. + 4 more

Energy, Environment & Climate Materials

The modelling the division's energy claims rest on, and the honest accounting of losses.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 4 more

Energy, Environment & Climate Materials

What this division works on, who works on it, and the rule that a laboratory result is not a deployable technology.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 4 more

Energy, Environment & Climate Materials

Materials for energy applications, developed against a requirement and reported with conditions.

Scale 10^-9 m to 10^6 m

Can relate an electrochemical measurement to the underlying process, and say what the measurement cannot distinguish. · Thermodynamics to the level of an energy balance over a real system. · Has analysed cycling or performance data and reported degradation rather than a best cycle. · Python for analysis of experimental or simulated energy data. + 4 more