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(s) Number of offers available1Company/InstituteBCBLCountrySpainState/ProvinceGipuzkoaCityDonostia-San SebastianPostal CodeE-20009StreetPaseo Mikeletegi, 69 - 2Geofield Contact State/Province Gipuzkoa
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SebastianPostal CodeE-20009StreetPaseo Mikeletegi, 69 - 2Geofield Contact State/Province Gipuzkoa City Donostia - San Sebatian Website http://www.bcbl.eu Street Paseo Mikeletegi, 69 - 2 Postal Code E-20009 E-Mail
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 hours ago
://ist-id.pt/concursos/bolsas/ Work Location(s) Number of offers available1Company/InstituteIST-IDCountryPortugalGeofield Contact City Lisbon Website http://ist-id.pt/ Street Av. Rovisco Pais Postal Code
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Hahn-Meitner-Platz 1 Postal Code 14109 Phone +49 30 8062-0 Fax +49 30 8062-42181 STATUS: EXPIRED
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Website https://aiot-xplorer.eu Street Spl. Independentei 313 Postal Code 060042 E-Mail ana.dragulinescu@upb.ro Mobile Phone +40 740 990 581 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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Independenței 313 Postal Code 060042 E-Mail ana.dragulinescu@upb.ro Mobile Phone +40 740 990 581 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with computational neuroscience, connectomics and/or Machine Learning is appreciated. Our goal perform connectome
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be hired as PhD student researchers at the CBGP. HOW TO APPLY: Please send your CV, including your chosen research project name and code, directly to the PI(s) of the project. You can contact
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position – Ad Print4Life DC11 Reference code: 50156132_2
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 3 days ago
, or publications. Programming/engineering expertise. Proficient in Python and practical with a deep-learning framework (PyTorch or TensorFlow). Comfortable writing clean, reproducible code and using version control