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Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 13 Feb 2026 - 17:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week
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publications in reputable journals. Collaborate in a multidisciplinary team of faculty, postdocs, and students Post-Doctoral Associate Employment at NYUAD: The terms of employment include highly competitive
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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Toggle navigation Your VUSM Current Students Postdocs Residents Basic Sciences Faculty Affairs Clinical Faculty Affairs Alumni Patients A-Z Directory VUSM Catalog School of Medicine Vanderbilt
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/ProvinceSaarlandCitySaarbrueckenPostal Code66123StreetCampusGeofield Contact State/Province Saarland City Saarbrücken Website https://www.uni-saarland.de/ Street Campus A2 3 Postal Code 66123 E-Mail rahmann@cs.uni-saarland.de STATUS
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 2 months ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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Code1040StreetWiedner Hauptstrasse 8Geofield Contact City Wien/Vienna Website https://fam.tuwien.ac.at Street Wiedner Hauptstrasse 8 Postal Code 1040 E-Mail fam@fam.tuwien.ac.at julia.eisenberg@fam.tuwien.ac.at
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https://www.lu.se/vacancies STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on