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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
of interest include machine learning and statistical inference for neural data, multimodal neural data integration and harmonization, computational modeling of cognition and behavior, neuroimaging analytics
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job position Postdoctoral
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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computing and AI models is a plus. Good written and oral communication skills, with papers published in leading conferences or journals Entry level candidates are welcome to apply We regret to inform you that
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The Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-Universität München (LMU) and the Federal Statistical Office (Statistisches Bundesamt, Destatis) invite applications for a
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), conducts fundamental and applied research in micro- and optoelectronics
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, emerging instructional models, and innovative educational practices that strengthen student learning and institutional competitiveness. Recruit, develop, empower, and retain a high-performing faculty while
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with