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• PhD in environmental sciences, chemistry, biogeochemistry, hydrology, or a related field • Experience in environmental contaminant analysis • Strong data analysis and interpretation skills Preferred
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Excellent knowledge of working with MAXQDA qualitative data-analysis software Excellent knowledge of theories and approaches relevant to research on rural sustainable development and migration Experience
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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will participate in the Higgs boson pair production analysis exploiting the Run 3 LHC collision data collected by the ATLAS experiment and will contribute to the R&D of the ALLEGRO liquefied noble gas
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students focused on the subsurface geology of the Midwest. The candidate will have access to a fission track analysis laboratory and equipment for (U-Th)/He thermochronology sample preparation. Interested
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observations on the accuracy and robustness of the Marine JEDI analysis system. A main focus involves systematically evaluating how the assimilation of diverse oceanographic data affects the initial state
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 1 day ago
communication skills in English Desirable Creativity and breadth with experimental approaches Prior experience with imaging-based behavioral analysis, sequencing-based genetic analysis, and with invertebrate
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for transatlantic collaboration and travel through our partnership with Forest Neurotech (now Merge Labs) in the USA. You will lead the design, execution, and analysis of a multimodal neuroimaging and ultrasound