62 high-performance-computing-postdoc PhD scholarships at Technical University of Munich in Germany
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP
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-scale training of a high-performance foundation model using a dedicated GPU cluster Fine-tuning the pretrained model on real-world health data from lifespin’s proprietary database Collaborating closely
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of agricultural applications, technology and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the German States (TV-L). Your qualifications • A
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and geopolitical issues require a rapid transformation of the system, but many uncertainties remain. Reducing uncertainties is imperative as the scale of investment required is very high and the phase
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policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
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to Biodiversity Exploratories, a renowned large scale experiment maintained by a large group of internationally renowned scientists, associated PhD students and Postdocs. • Free access to transferable skill and
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computer vision in dusty conditions by incorporating hyperspectral cameras. In addition, assisting in project applications and general development duties of the Chair. The position is available from
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proteins from renewable feedstocks and waste streams. We aim to develop sustainable processes to convert these materials into high-performance fibers and functional materials. By manipulating molecular
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota