504 computational-physics-"https:"-"https:"-"https:"-"https:"-"Chalmers" PhD positions in United Kingdom
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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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Ability to follow instructions (evidenced by application) How to apply This is a multi-disciplinary program hence good candidates from chemistry, physics, environmental sciences or chemical engineering (or
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Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2026/27 (jobs.ac.uk) Project Link via the 'Apply' button above Project Title: Machine Learning Driven Corrosion Modelling in Bio
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underlying physics while enabling real‑time or near‑real‑time predictions. You will work with experts in engineering, CFD, data-driven fluid dynamics and computer science. This PhD provides an excellent
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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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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or a 2:1 in a relevant field (for example Physics, Electrical and Electronic Engineering, Computer Science, or Biosciences). Funding support After a suitable candidate is found, funding is then sought
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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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systems, physics, applied mathematics, data science, computer science, food science, microbiology or related fields. It is especially well suited to individuals who are curious about how thermal processes
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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