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processes that produce energy and raw materials. The Department of Radiation Research on Biological Systems is looking for a PhD Student (f/m/d) to investigate the impact of ionizing radiation on mammalian
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regulate biological processes across scales, from molecules to organisms. At the same time the mechanistic regulation of R-loops themselves is studied. As one of a cohort of 12 4R PhD positions, you will be
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). The institute also maintains locations in Dedelow and Paulinenaue. The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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“PhD application for Self-supervised Learning of Time Series Data” in the subject line. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally
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"moving break" Initiatives for sustainability and a green environment with a new biotope Position details The positions should be filled as soon as possible; the exact start date is flexible. PhD students
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd . We welcome applications from people with diverse backgrounds, e.g., in terms of age, gender
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
Your Job: The Electrocatalysis research department (https://www.hi-ern.de/hi-ern/Electrocatalysis) is looking for three PhD students, which research area is to investigate fundamental relationships
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 20 days ago
Job Code: 21-25 Job Offer from July 31, 2025 The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than
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or reinforcement learning Interest in (or willingness to learn) plant physiology, genomics and process-based modelling; any prior exposure to crop or ecological models is a plus Proven ability to work independently