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with comparative investigations in Arctic Ice Regions - SPP1158), we aim to close these knowledge gaps using a data-mining approach. To do so, we will use in house as well as previously published 16S
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Excellent university degree (Master’s) in Electrical Engineering, Physics, Applied Mathematics, or a related discipline Strong motivation for interdisciplinary research at the interface of energy systems
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management program, including discounts at local sports clubs, gyms, and swimming pools (EGYM WELLPASS) The option to use a Job-Ticket Numerous sports and cultural activities A variety of dining options in
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Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply Website https
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. We invite applications
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is Germany's largest scientific organisation. Where to apply Website https://recruiting.fz-juelich.de/jobposting/624ba2dd58b0e8745496d41ac02be57abcf… Requirements Additional Information Website
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Job Code: GEA-DLU Job Offer from August 13, 2026 The Department of Coevolution of Land Use and Urbanization, Max Planck Institute of Geoanthropology, Jena, Germany, is pleased to announce vacancies
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simulations. Your Profile Excellent completed master's degree in physics, materials science, engineering or a related field. Good knowledge of solid state physics. Ideally, experience in the fields
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Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing (Hannover Medical School) https://www.neuroprostheses.com/AuditorySciences/Main.html Biomedical Technology with a focus on
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience