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). Outstanding organisational and record-keeping skills and a capacity to work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer
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areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv) Atomistic classical simulations of macromolecules (v) Biophysics. You can write
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, integration, and iterative testing - and run high-fidelity microgrid simulations to validate functionality, ensuring all performance and timeline milestones are met. To collaborate with the industrial partner
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their dynamics. This will be carried out on a highly noisy incomplete data, posing a significant theoretical and computational challenge. Validate the developed methods in simulations and in real neuronal
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Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff
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Directorate: School of Engineering & Physical Sciences Salary: Grade 7 (£36,924-£46,485) Contract Type: Full Time (1FTE), Fixed Term (18 Months) Rewards and Benefits: 33 days annual leave, plus 9
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doctoral studies / focus on solid state physics or chemical physics Professional skills: Development of ab initio methods Methodological skills: Python, Fortran, C, C++ High performance computing Good
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
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topics would be advantageous: open system quantum optics, many-body physics, cold atom physics, computational physics, quantum physics, nano-photonics and metamaterials. The appointment will be for two