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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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sequencing-based assays, new genomic method development, perform molecular biology experiments and coordinate lab research. The candidate needs to have a Ph.D. Degree in molecular biology and previous postdoc
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: https://remik24-web.github.io/QT-website/ The candidates are welcome to inquire about the project details, research agenda and organizational issues. The questions should be sent by email to R. Augusiak
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of Mathematics Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.04.2029 Reference no.: 5346 The Faculty of Mathematics at the University
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Researcher (R2) Positions Postdoc Positions Application Deadline 22 Apr 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 15 May
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: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in
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researchers (Y.-M. Niquet, M. Filippone), two PhD students and two postdocs. More about Grenoble and its surroundings: http://www.isere-tourism.com/ Where to apply E-mail yniquet@cea.fr Requirements Research
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- Knowledge of mathematical probability and statistics, and optimization methods - Knowledge of machine learning, including supervised and unsupervised learning, deep learning, and model evaluation - Knowledge
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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representativeness - Knowledge of software engineering for AI applications - Knowledge of mathematical probability and statistics and optimization methods - Knowledge of machine learning including