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cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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-mediated interactions can be engineered and manipulated for applications in quantum technologies and to simulate novel strongly interacting quantum systems. A suitable candidate would be a highly motivated
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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experience: Essential criteria PhD in Biological Sciences, Molecular Biology/Genetics, Microbiology, Immunology or related discipline. Research experience in fungal pathogenesis, especially Candida. Research
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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completion of a PhD and demonstrate strong ability in electrical and electronic engineering, physics, material, or a related discipline. While experience in nanoelectronic device characterisation, modelling
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the University, with additional appointments in Mathematics, Engineering and Chemistry. Durham's strong commitment to this area of research is also demonstrated through its support for the EPSRC Centre
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-leading research. Education, Qualifications and Experience Essential A PhD in physics or engineering with a specialisation in ultrafast nonlinear optics and/or ultrafast spectroscopy, or extensive