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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 11 days ago
motivated postdoctoral researcher (f/m/x) to develop advanced physical and computational models integrating transcriptional and biomechanical data during mammalian gastrulation. This position is part of
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are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
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modeling, photovoltaics, high-temperature experimentation, and solar energy technologies. Thermophotovoltaic (TPV) systems convert thermal radiation emitted by a hot surface into electricity using lowbandgap
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models, statistical signal processing, statistical theory and computational statistics, and probability theory, with applications in areas such as medicine, environmental research, and financial
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immediately, depending on visa status and requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html (link is external) https://www.devo-evo.com (link is external) How to Submit
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inflammatory systems; applying cutting-edge multi-omics technologies such as single-cell sequencing and spatial transcriptomics to translational research; and developing novel therapeutic strategies and
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domestic wildlife, and the inhabitants of the Jura Mountains 2) Spatial and temporal analysis of hunting pressure and lynx presence within the study area 3) Population dynamics of chamois and roe deer in a
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(n = ~1 million adults; 188,402 deaths observed), modeling spatial processes, and considering family risk factors. Duties of the postdoctoral associate include preparing area-level data, data analysis
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(n = ~1 million adults; 188,402 deaths observed), modeling spatial processes, and considering family risk factors. Duties of the postdoctoral associate include preparing area-level data, data analysis
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modelling is not required. However, a strong ability to perform 3D spatial visualization, particularly when working with fragmentary or incomplete fossil data, is essential. Languages: French and English