Departments / Science & Advanced Engineering
Computational physics, chemistry and biology, materials informatics, nanotechnology, synthetic biology, neuroscience AI, and energy systems.
The long-horizon energy question — plasma physics, confinement approaches, and an honest read of where fusion research actually stands.
Plasma physics fundamentals · Literature review · Technical writing · Documentation + 1 more
Energy at a systems level — generation mix, grids, storage, and demand, analysed as one interconnected system.
Energy systems fundamentals · Scenario modelling · Data analysis · Documentation + 1 more
The two-way traffic between neuroscience and AI — brain-inspired computation, and what learning research tells us about how people actually learn.
Neuroscience fundamentals · Machine learning fundamentals · Literature review · Documentation + 1 more
Engineering biology deliberately — designed genetic circuits and standardised biological parts, distinct from classical biotechnology.
Synthetic biology fundamentals · Literature review · Biosafety awareness · Documentation + 1 more
Biotechnology as an applied field — how biological systems get engineered into products and processes across health, agriculture, and industry.
Biotechnology fundamentals · Literature review · Documentation · Analytical thinking + 1 more
Science and engineering at the nanoscale — where material behaviour changes and new device possibilities open up.
Nanotechnology fundamentals · Literature review · Documentation · Analytical thinking + 1 more
Data-driven materials discovery — applying machine learning to materials property data to narrow the search space before experiment.
Python (scikit-learn) · Materials science fundamentals · Feature engineering · Data analysis + 1 more
Biology as a computational science — modelling biological systems and processes, broader than the sequence-analysis focus of bioinformatics.
Python/R · Statistical modelling · Biology fundamentals · Data analysis + 1 more
Chemistry simulated rather than synthesised — molecular modelling, property prediction, and computational screening.
Python · Molecular modelling tools · Chemistry fundamentals · Data analysis + 1 more
Physics done through computation — numerical methods, simulation, and modelling physical systems that are analytically intractable.
Python/C++ · Numerical methods · Physics fundamentals · Simulation validation + 1 more