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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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. The researcher will be supervised by Prof. Colette Heald. Profile Applicants should hold an PhD degree in atmospheric science, earth science, environmental science, chemistry, physics, or a related discipline
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microscopy (QPlus AFM), integrated with electron spin resonance (ESR) capabilities. Your profile We are looking for a highly motivated experimentalist who meets the following criteria: PhD in Physics
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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doctoral degrees are not awarded. Eligibility is based on the certified date of the PhD defense (or equivalent degree) and the start date of the fellowship. The fellowship applies an academic age limit
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of the candidate Exact PhD defense date (Eligibility window: PhD + 5 years. For flexibility for maternity/paternity leave please check the guidelines) Current country and university the candidate is affiliated with