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Science, or a closely related discipline before the start date. For Postdoctoral Researcher: Applicants must have completed, or be about to complete, a PhD (doctoral degree) in Psychology, Cognitive Science
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems
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: A Masters degree with subsequent PhD in chemistry, physics, environmental science, atmospheric science, meteorology, or a related discipline Strong software skills and good knowledge
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Mantras" project website. This involves mapping and archiving sonic and visual representations of mantras across global Southern Asia, contributing to the design process, refining content, and regularly
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At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate
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and its research groups. Your Profile PhD in theoretical solid state physics Profound knowledge in the field of quantum magnetism Extensive experience with analytical and/or numerical methods in solid
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 25 days ago
research team. The ideal candidate should have: a PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university, prior
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conferences Your qualifications: A Master’s degree (or equivalent) and a PhD in geophysics, physics, geosciences or a closely related field Experience in data assimilation and numerical simulations Knowledge
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, longitudinal pattern mining, and explainable artificial intelligence for complex system analysis and understanding tightly collaborating with biologists and domain experts for iteratively refining models