477 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" PhD positions in United Kingdom
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process
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Recent advances in artificial intelligence (AI) have fuelled the idea of building “AI scientists”, i.e., systems that can perform part or all of the research process on their own. The development
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Research theme: Computational Electrocatalysis How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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techniques to problems with global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills
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outcomes. This PhD will deliver an original, staged programme of research evaluating the impact of routine medication exposure on immunotherapy outcomes. Melanoma will serve as the initial focus, with
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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of components. These WELs are regions of nano-grained material that are believed to form from severe plastic deformation at the surface during the machining process. Similar white-etching features are also
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global significance. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both
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hold (or expect to achieve) a first-class or upper-second-class degree in Computer Science, Mathematics, Physics, Engineering, or a related discipline. Interest in AI, scientific imaging, computational