10 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Université de Strasbourg
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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(including computer science, machine learning or deep learning). Activities Description of the research activities : The post-doctoral researcher will develop the research actions defined in his/her research
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of atomic spins which are subjected to a strong static magnetic field Funding category: Autre financement public ANR PHD title: Engineering Sciences PdH PHD Country: France Where to apply Website https
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https://www.unistra.fr/ Street 4 rue Blaise Pascal Postal Code 67000 E-Mail lie.fu@math.unistra.fr STATUS: EXPIRED
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Strasbourg Website https://www.unistra.fr/ Street 4 rue Blaise Pascal Postal Code 67000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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StrasbourgCountryFranceGeofield Contact City Strasbourg Website https://isis.unistra.fr/fr/ Street 23 Rue du Loess Postal Code 67200 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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moléculaire, génomique, microbiologie (GMGM) Institut de physiologie et de la chimie biologique (IPCB)CountryFranceCityStrasbourgGeofield Contact City Strasbourg Website https://www.unistra.fr/ Street 4 rue
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7363), University of Strasbourg, FranceCountryFranceGeofield Contact City Strasbourg Website https://www.unistra.fr/ Street 4 rue Blaise Pascal Postal Code 67000 STATUS: EXPIRED X (formerly Twitter
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, FranceCountryFranceGeofield Contact City Strasbourg Website https://www.unistra.fr/ Street 4 rue Blaise Pascal Postal Code 67000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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(literary, scientific or media), ecocriticism and/or ecopoetics Operational skills/expertise : - Mastering computer tools (Hypothesis blog) - Knowing how to organize a scientific event - Being able to access