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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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Science and Policy (SMSP) seeks to hire a tenure-track coastal physical oceanographer with research interests in estuaries, continental shelves, or the interface between coastal and open oceans. We seek
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Interprofessional Education efforts, the Educational Staff Service Support team and interfaces with accreditation and professional licensing entities, Information Technology Services that manages computer/audiovisual
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, develop work plans and carry out strategies to promote and enable research in the College. The Research Facilitator will also act as an interface between the Principal Investigators and the OVPR
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. The recruited PhD candidate will work in an interdisciplinary and international research environment at the interface of nanophotonics, materials science, and energy-related applications. The project offers
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, computational biology and AI. We aim to appoint one postdoctoral scholar with strong computational skills and a second experimental postdoctoral scholar to work at the interface between the two labs to integrate
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computational biology. The general responsibilities of this position are as follows: Independent analysis of single cell and bulk genomics data including from CRISPR screens, kidney organoid models, and primary
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about/work
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high-performance classical simulations, working at the interface between quantum theory, numerical methods, and large-scale scientific data analysis. The position is not limited to quantum computing and
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Systems – autonomous vehicles, collaborative robots, and human–machine interaction. · Biomedical Engineering & Health Technologies – wearable devices, brain–computer interfaces, and digital health systems