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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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constructs and within-person change, as well as spoken narrative data. The overarching goal is to characterize longitudinal trajectories of core computational constructs (e.g., reward learning, decision-making
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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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learned from ESA research and development activities relating to Zero Debris and consultation with ESA domain experts to identify challenges, constraints and opportunities associated with developing space
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● A PhD (or foreign equivalent) in Computational Biophysics, Biochemistry, Chemistry, Bioinformatics, or a
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
within Helmholtz Munich and the DZD network Present and communicate research findings through publications, seminars, and national and international scientific conferences Your profile PhD in neuroscience
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developing leaders who are empowered to halt the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https
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–make–test–analyse (DMTA) cycle operated jointly with the paired medicinal chemistry postdoc. Who we’re looking for: A PhD in structural biology, biophysics, biochemistry, chemical biology, or a closely
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, and trajectory interference to trace cellular processes. May assist, or mentor graduate students who are working on research related to the project. Qualifications Appropriate PhD in a related field. A
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI