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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 hour ago
, thereby improving safety and operational efficiency. We offer a position for a PostDoc (m/f/d) within the division Stellarator Heating, Plasma Diagnostics and Optimization (E3) to develop a generative AI
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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. The position is associated with a regular weekly teaching obligation in accordance with the Teaching Obligation Ordinance. Requirements Research FieldGeosciences » OtherEducation LevelPhD or equivalent Skills
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Max Planck Institute for Plasma Physics, Garching | Garching an der Alz, Bayern | Germany | about 21 hours ago
at one of the largest research institutes for fusion research flexible working hours training and further education opportunities company pension scheme family service further social
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of your research project, education and work certificates) as a single PDF to application(at)prif.org with a subject line that consists of your name and the code “Postdoc-PB2” (e.g. “Max_Mustermann_Postdoc
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the potential to apply these methods to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large
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subprojects, please see the subproject descriptions at www.trr-energytransfers.de. Funding for the planned activities has been requested. The task of this work will be to develop numerical ocean model analysis
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to pursue your own career development the opportunity to gain experience in teaching, student supervision and funding acquisition mentoring by advanced researchers advanced career support (professional skills
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(many primary data are acquired by single cell sequencing), and will develop and employ novel machine learning-guided approaches. Your profile We are looking for highly motivated applicants with following
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to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML