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Field
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degree in physics, (physical) chemistry, or material science. Knowledge in the operation of ultrahigh vacuum equipment and using X-ray spectroscopies is mandatory. Background in photovoltaic materials
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 21 days ago
submit your CV, your academic records, a statement of your research interests, and contacts of two referees. Processing of applications will start after the first deadline of 1st December 2025 and will
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how oxygen, nutrients, pollutants, or fine sediments migrate between surface water and the bed, or to quantify how restoration actions affect life-sustaining processes such as fish spawning and methane
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spectroscopy. The present project will involve the following steps: • Development of scanning probe near-field sensors based on solution-synthesized metallic nanoparticles • Operation of an existing setup
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing
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programme No Joint degree / double degree programme No Description/content The "Digital Platform Ecosystems" Research Training Group (RTG) is dedicated to studying a key phenomenon of the digital economy and
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limitation of the contract is based on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal regulations
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counseling Career Center for PhD candidates International Staff Service Support with the relocation & integration process in Germany Health Promotion Sports, company doctor, mental health initiatives
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with