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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
strong links to theory groups at the institute and astrophysical interpretation and modelling work may also be included. PhD in Physics or Electronic Engineering. Knowledge of relevant technologies and/or
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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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researcher (m/f/d) (biology, biochemistry, biotechnology or related areas) Our project investigates the mechanisms of inherited bone marrow failure and its progression into hematological malignancies. Our
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied science
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generation of cancer-adapted vaccines, we encourage you to apply. Your Mission: As part of the Systems Immunology Lab , you will: Engineer multi-organ microphysiological systems with tumor organoids and
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of science, technology and administration as well as for the education of highly qualified young scientists. Over the recent years, DESY has also become an international hotspot for cutting-edge laser science
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(Eye Tracking, Speech, and Vision) 2. Research in Eye-Tracking Technology and Smart Glasses 3. Human-Centered Generative AI 4. Human-AI Interaction Who We Are Looking For: We seek highly motivated 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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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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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