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, microscopy and computation. Applicants should hold, or expect to gain, an undergraduate or Master's degree in biophysics, biology, physics, chemistry, bioengineering, physical chemistry, biomedical sciences
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
in the Department of Mathematical Sciences at Durham University. The project includes close collaboration with Professor Anders Østergaard Madsen , Principal Investigator, at the University
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good 2.1 Bachelors, or Masters degree in Electronic, Chemical Engineering, Applied Physics, Physical Sciences or equivalent. Experience in more than one of the following topics will be a plus: Working
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have any questions, please contact the principal supervisor, Dr Masoud Ghalaii ([email protected] ). To apply you will need to complete the online application form for a full time PhD in Computing
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Associate and Assistant: A recognised first class masters degree (or equivalent) in Aerospace, Mechanical Engineering or a closely related discipline In addition: Experience in computational mechanics
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your primary motivation for applying for a PhD studentship and to this project, outlining any research experience and your career ambitions Contact details for two academic referees (include any recent
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Primary Supervisor: Prof. Mark Blyth Inviscid liquid jets subject to surface tension and in the absence of gravity are known to be unstable under long-wave perturbations, a phenomenon described by
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Primary Supervisor: Dr Jonathan Kirby Model theory is traditionally done with “classical first-order logic”, the logic which allows unlimited use of the operators AND, OR, NOT, with the EXISTS and
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sponsorship for this role. Candidate requirements Applicants should hold (or expect) a first or upper-second class UK honours degree, and ideally a masters degree, in computer science, data science, artificial
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offer visa sponsorship for this role. Candidate requirements Essential Skills in programming, preferably in Python, and a suitable undergraduate / masters degree in the discipline of Computer Science, NLP