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research collaborations with colleagues at the institute. Additionally, we expect postdocs to teach one course per semester. What we expect from you: An excellent PhD in Psychology, Education Sciences
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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) Participation in international conferences (including presenting your research results) Preparation of scientific publications and project reports Supervision of PhD students and other students Support in
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molecular properties for comparison with experimental results. Requirements: Completed university degree (M.Sc or Diploma degree) in Chemistry or a closely relatet field and PhD / Doctoral degree in Chemistry
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change #utilize a participatory system dynamics modeling to match resilience patterns with best-fit learning cases from various regional contexts in Europe #develop a resilience performance framework for
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 24 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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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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applicant will have good communication and organisational skills and a PhD in a relevant area (or be in the final stages of completion). Candidates are expected to be highly motivated and to work
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
the current management concept adequately address the emerging challenges posed by climate change and a fast-growing fishery? How can the management concept be improved, potentially by learning from management