460 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD research jobs
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, and Advanced Characterisation Processes for solid-state structures. This role also involves developing molecular transport in the solid state media with multiple layered and pore structure. The skills
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods
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As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate program, which includes tailored training, workshops, retreats
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
https://unc.peopleadmin.com/postings/283439 Department Contact Information Department Contact Name and Title Lauren J. Andrews, HR Consultant Department Contact Telephone or Email lauren_andrews
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data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical
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computational work involves protein structure prediction Publications in high impact factor journals Knowledge and experience in AMR, Artificial Intelligence in health and food systems Good laboratory skills
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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: structured environments, such as the synthetic cells; environments with competing interaction partners; and systems with hybrid RNA-DNA duplexes. You should have a degree in a subject related to physical
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novel solutions use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly