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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 4 hours ago
between group-related projects, projects of individual interest, and service to the group and community (for example (co-)supervision of PhD students, peer review, support in organizing workshops, and
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
process representations for next-generation Earth System Models and future CMIP simulations. Your Profile A PhD degree in environmental-, climate- or geosciences or a related field (applications of
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we seek The ELBE program seeks
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21.09.2026, Academic staff The Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM) is seeking a PostDoc (m/f/d) for “Safe and Networked Control
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
populations Publication of the results in peer-reviewed journals and presentations at international conferences Your Qualification A PhD and several years of postdoc experience in cosmochemistry Experience in
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atomic resolution Explore feasibility of MLLs for various experiments and for their increased use at lab, synchrotron and XFEL sources Communicate findings via publications and presentations About you: PhD
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and
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, experimental scientists and clinicians What we’re looking for PhD in bioinformatics, computational biology, or related field Experience in analyzing biological data, especially proteomics data Strong knowledge