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structural deviations by leveraging lifespan normative models for cortical gyrification and grey-matter volume, and (iii) characterise and predict longitudinal brain change in psychosis by estimating
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well as external researchers, focusing on regional ocean climate predictions and projections. The primary objective of this position is to apply an existing Earth System Model for the Baltic Sea region (IOW-ESM) in
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on “Maternal Immune Activation” involving the development of novel artificial intelligence methods (graph and geometric deep learning, LLMs, …) working on methods for predictive multi-omics integration
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evaluation methods for vision models Design metrics to compare neural and behavioral data with computational predictions Collaborate with CRC groups on open, reproducible standards for model evaluation Mentor
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We offer a postdoc position in a project aiming at the development of organoid models for inflammatory bowel diseases. The project is a collaboration between the Fraunhofer Institute
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proteins with regard to their role in the development of cancer, the emergence of therapy resistance, as predictive markers to guide therapy and as therapeutic targets. Your Responsibilities Independent
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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. The position is to be filled as soon as possible. The Axion is a prime candidate to explain the Dark Matter problem of the universe. It is independently predicted by Peccei Quinn (PQ) symmetry breaking
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on skills and interest): Build “incentive-preserving prediction models” for variables with positive global externalities, based on country characteristics (GDP, population density…) Develop procedures
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research. For European Union HORIZON Action Grant Budget-Based agreement project PREVENT - Im-proved Predictability Of Extremes Over The Mediterranean From Seasonal To Decadal Timescales - PIK is offering a