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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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cross-disciplinary and focussed on translating technological advances in biomedical engineering towards improving outcomes for cancer patients. PhD students within the group are supported by postdocs
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Postdoc Positions Application Deadline 6 Aug 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded
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quality of life. The contract will initially be limited to 2 or 3 years with the possibility for further extension. Salary is commensurate with work experience and seniority (TV EntgO Bund EG13 (Postdoc
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop climate-neutral operations through the integration of renewable energy sources and hybrid storage...
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and innovation. (https://liu.se/loe ) You will work within the newly established Computational Materials Science group of Assistant Professor Waldemar Kaiser, part of the Theory & Modelling unit (led by
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will work within the **“Molecular Hematology – Blood Signals”** team, under the supervision of **Dr Eirini Trompouki**, at the **Institute for Research on Cancer and Aging of Nice (IRCAN)**. IRCAN is a
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talented, enthusiastic, and collaborative PhD candidate to investigate how phytoplankton trait diversity affects ecosystem processes. Specifically, the PhD candidate will integrate diversity of phytoplankton
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the MARIANNE team at the I3S Laboratory (Laboratory of Computer Science, Signals, and Systems in Sophia Antipolis) of the CNRS and Université Côte d'Azur. The team is based at the Inria Center at Université Côte