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resolution seagrass maps for the Baltic Sea and validate them with available observational datasets. Provide training data (seagrass maps) to support AI algorithms for testing nutrient and climate scenarios
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of scientific publications and project reports Supervision of PhD students and other students Support in the preparation of third-party funding proposals Support in establishing the institute Your Profile: Master
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scientific/policy journals. What do we expect from you? Applicants must have a university degree (master/diploma) and a PhD in coastal or marine environmental sciences or a related discipline. Evidence of very
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properties (IOPs/AOPs) for the German Baltic Sea coastal region. This will serve as a training data set for AI-driven simulations in the SEAGUARD project and contribute to the analysis of drivers of change in
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role in the global carbon cycle by transferring carbon from the surface ocean to the deep sea through the formation, sinking, and remineralization of organic particles. Despite its importance, our
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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? The doctoral degree should have been completed no longer than two years before the time of application. Doctoral students finishing their PhD studies by the beginning of the scholarship are also eligible
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
experience (active GitHub/GitLab profile or similar), two of your key publications, contact information of three referees and academic certificates (PhD, Diploma/Master, Bachelor certificates). Please submit
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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and fungal pathogens. We are currently recruiting highly talented and motivated Postdocs and/or PhD students in the following areas of research: Synthetic biology and high throughput screening Infection