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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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. 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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Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship
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🌍 PhD Opportunities in the U.S. (Fully Funded) | Zynthera in Partnership with NYU & UCLAZynthera is a research-driven, interdisciplinary science and innovation company headquartered in Rome
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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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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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a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens
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institutes in Berlin which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications as PhD Student Position (f/m/d) (Ref. 25/11) in
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with quantitative data analysis excellent written and spoken English in order to qualify for admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or
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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