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Field
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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seminars, reading groups, and collaborative writing processes. Your qualities The ideal candidate for this Postdoc position must have: a PhD degree in a relevant scientific discipline in the Humanities
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, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by
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cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG
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conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
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to apply Website https://www.academictransfer.com/en/jobs/359469/postdoc-in-reinforcement-learni… Requirements Specific Requirements a PhD in mathematics, operations research or computer science a strong
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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the ability to organize, coordinate, and lead field activities together with local partners. A PhD in oceanography, atmospheric science, physical geography, environmental physics, or a closely related
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and administrative work on the project. This is what we ask of you Required: a completed PhD with a background in Digital Humanities, Computational Social Science, or Computer Science (with a strong
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic