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prediction … At the core of their ability is the capacity to generalize unseen data and to be applied as pretrained models to different domains. However, these properties remain only partially understood
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and/or slitless spectroscopy datasets and/or JWST imaging datasets Development of methods for large spectroscopic surveys and data products This is a two-year term appointment from date of hire with
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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arboviruses (e.g. dengue, zika), where we investigate how host-virus dynamics affect outcomes in different tissues. By combining computational systems biology with rigorous experimental virology, we transform
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mountains. To achieve this, we combine disciplines ranging from ecology and geography to economy and archeology, represented by large team of researchers and stakeholders from the EU and Eastern Africa
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17 Apr 2026 Job Information Organisation/Company CNRS Department Ecologie et dynamique des systèmes anthropisés Research Field Geosciences Biological sciences Researcher Profile First Stage
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, fluorescence lifetime and vibrational imaging methods. Large-scale and high-throughput imaging and analysis pipelines: data acquisition and analysis to characterize cell-types and connectivity in mammalian brain
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 hour ago
) beamline. The position offers the opportunity to play a leading role in designing and performing time-resolved experiments, analyzing spectroscopic data, and interpreting results in close collaboration with
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remote sensing and/or modeling approaches. Satellite and climate data processing will be carried out over large areas, and the applicant should therefore be able to efficiently handle big datasets
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biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information. Analysis of large‑scale clinical, genomic, and molecular datasets. Development and