483 computational-physics-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in United Kingdom
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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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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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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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degree with honours (or equivalent) in Engineering, Physics, Mathematics, or Materials Science • Excellent English written and spoken communication skills • Foundations in Continuum Mechanics and
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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
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sustainable food or physical activity policies in local government, and how these actors exert influence. Many UK local governments face challenges in developing healthy and sustainable food or active travel
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). Additional project costs will also be provided. Overview We are looking for a highly motivated candidate with a background in electronic engineering, physics or a related discipline. Strong practical skills
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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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. Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Collaborative