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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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experience in one or more of the following: tumor immunology, cell therapy, immune metabolism or genetic engineering Experience with in vivo models and FELASA B/C certification is a plus Highly motivated, team
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the Metabolomics Core Technology Platform (MCTP). We seek an enthusiastic scientist who will operate, develop, and continuously advance spatial metabolomics services, facilitating cutting-edge research across
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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Do a PostDoc in Pathology AI! 11.10.2023, Wissenschaftliches Personal The Computational Pathology Lab at the Technical University of Munich (TUM), TUM School of Computation, Information and
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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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=finley&sub_page=research The SNQS group performs research funded by diverse sources including the German Science Foundation (DFG), the Federal Ministry for Research, Technology and Space (BMFTR
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Supervision and mentoring of masters and doctoral students Publication
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
understanding of the complex physics of the atmosphere with a PhD degree in physics, meteorology, engineering or related fields. Knowledge in one or more of the following: experimental fluid physics and dynamics