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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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(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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, Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and engineers. The candidates must be from eligible low and middle-income countries (find the complete list here: https
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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
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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/maths/offen-christian ) For application details, see https://www.birmingham.ac.uk/study/postgraduate/research/how-to-apply References: C. Offen, “Machine learning of continuous and discrete variational