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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Applications should include: Curriculum Vitae with the list of publications Cover letter Copies of previous degrees Names and contact details of two academic referees Early application is highly
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information, see https://growthandyield.ca.Applicants must demonstrate- Strong interest in forest science and remote sensing- Strong written communication and data science skills- Relevant prior M.Sc. with
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; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is a talented engineer with a Master's degree and has
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. Information on annual leave and other benefits are listed here: https://www.cambridgestudents.cam.ac.uk/fees-and-funding/funding/support-ukri-studentship-holders . EPSRC IDLA studentships are fully-funded (fees
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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Programme description:The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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15th September 2025 Languages English English English PhD Research Scholar positions - Department of Economics Apply for this job See advertisement About NHH NHH Norwegian School of Economics is
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for academic positions. Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request
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a list of publications, a cover letter highlighting your suitability for the position and why you want to join the Jönsson group and the RESYDE project, and contact information of three referees