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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply. Benefits Annual base salary USD 48,000 (tax-free
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indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various climatic, morphological, and social scenarios. Formulate
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment
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18.10.2022, Academic staff The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data. The lab
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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Post-Doctoral Position in biomedical data mining - (200000K1) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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Posting Details Position Information Posting Number PG191774PD Position Number 00112338 Position Type Post Doc FLSA Exempt Departmental Information Department ID 140401 - Electrical & Computer