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the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental climate states. Key
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methods, which occur with aging and lead to altered long-range and local synaptic function and subsequent aberrant network excitability along with associated memory deficits. Specifically, the candidate
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research questions a strong collaborative spirit and enjoyment working closely within a diverse research team intellectual curiosity, creativity, and an openness to exploring new methods and
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behavioral data) using current and innovative methods Presentation of research results (in scientific journals, colloquia and conferences, manuscript publication) Requirements and Skills Excellent master and
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Open Source Developer for Digital Scientific Infrastructures (m/f/d
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the Research Group “Numerical Mathematics and Scientific Computing” (Head: Prof. Dr. V. John) starting November 1, 2025. We are looking for: The applicant should perform active research in numerical analysis
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independently and on your own initiative a methodical and systematic approach structured and goal-oriented thinking capacity to familiarise yourself quickly with new topics creativity and openness to new
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, holistic strategies, processes, as well as structures for collaboration, governance, and learning are co-designed and implemented jointly with stakeholders, employing innovative methods and tools to foster
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solute flux to the coastal ocean. We develop empirical surrogate models for numerical groundwater models to estimate and extrapolate global groundwater fluxes through STEs. This provides essential base