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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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Frankfurt, a diverse and vibrant city offering a high quality of life Opportunities to participate in teaching and outreach activities, e.g., in our museum and with collaborating universities Flexible working
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Frankfurt, a diverse and vibrant city offering a high quality of life Flexible working hours – mobile working options – Support with childcare or caring for family members (certified by the "audit
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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of Pathology (https://www.pm.mh.tum.de/path ), and is affiliated with the TUM School of Computation, Information and Technology (CIT, https://www.cit.tum.de/ ), the TUM School of Medicine and Health (MH, https
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analyzing large-scale datasets using software tools like Python Proven track record of publishing high-quality articles in peer-reviewed journals Excellent command of written and spoken English Familiarity
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. The successful candidate will focus on molecular seed quality assessment using high-throughput metabolomics (LC MS/MS) and proteomics to support the breeding of climate-resilient crops. You will work with a
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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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Your Job: The project focusses on Tans-Neptunian objects. The key objective is to develop ML tools that provide a quantitative assessment for the quality of fit between observed properties of Trans