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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 15 days ago
, executing, and analyzing experiments to address one or more of these questions. This project will adopt a primarily laboratory-based approach and may incorporate field work in Landkreis Konstanz. Project
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
testing models using data from direct numerical simulations and experiments. Investigating whether machine learning can identify efficient control strategies for turbulent flows. Studying
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
numerical results with available observational and experimental evidence in geophysical and astrophysical contexts. Your qualification PhD in fluid dynamics, physics, applied mathematics, geophysics
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well as data collected during the project. Experience in computational modelling is an asset. The activities of the research group are closely connected to the Tübingen Center for Digital Education (TüCeDE
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, or willingness to acquire these skills) and have experience in archival research and/or (2) experience in computational methods of text mining, analysis, and visualization (e.g. Python) or analysis of biodiversity
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oceanography, or related (required) Experience with eddy covariance or other direct flux techniques (desired) Strong knowledge of the marine carbonate system, including TA, DIC, pH, and pCO₂ observations
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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research group intellectually, organizationally, and experimentally Develop innovative experimental strategies and methodologies Analyze and interpret complex datasets Communicate and present results; write
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postdoctoral researcher, you will play a central intellectual role in shaping experiments, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets
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the phenomenology of cognition (e.g. formalizing concepts such as reasoning, agency, meaning, or experience into testable computational models, skill acquisition, and affordances). The successful candidate will bring