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Field
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Description The Berlin Mathematical School is the graduate school of the Cluster of Excellence MATH+ ( http://www.mathplus.de ) and a joint endeavor of the mathematics departments
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personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science, maths or a similar field A
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, applied maths, or scientific computing as well as proficiency in Python/C++. Exposure to ML or automatic differentiation is a plus. You must be curious, collaborative, and motivated to turn methods
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Computational background: engineering, physics, maths, or computer science. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation
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(minimum 2.1 honours or equivalent) in a STEM subject including Computer Science, Data Science, Engineering, Physics or Maths. A relevant MSc/MEng is desirable but strong candidates without postgraduate
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conducted at the ESPACE laboratory (AMU site) in collaboration with colleagues from the Orsay Mathematics Laboratory and the PEPR Math-Vive GEOMATH. Research will also be conducted in collaboration with
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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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, maths, or a similar field A strong background in one of the biological disciplines covered by PRIDAS (behavioral biology, data science, neuroscience, physiology, genetics) Knowledge of at least one
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://www.nottingham.ac.uk/pgstudy/funding/postgraduate-funding.aspx Entry Requirements: Starting October 2026, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join