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procedures, views, and other SQL Server objects to access database content. Experience in a structured programming environment writing organized, consistent and easily understood code, including testing
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be found on our lab website: https://www.derosierelab.com/ Salary and benefits: ~€2300 net per month for candidates with less than 2 years post-PhD experience; €2450+ net per month for candidates with
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https://www.swebwindow.eu Street Kengaraga 8 Postal Code LV-1061 E-Mail juris.purans@cfi.lu.lv STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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://www.irimas.uha.fr/ https://www.uha.fr/fr/recherche/doctorat-1/sujets-projets-de-theses-concours-contrats-doctoraux.html Street 12 rue des Frères Lumière Postal Code 68100 E-Mail benoit.hilt@uha.fr Phone +33 (0) 3 89
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UniversityCountryFranceCityParisPostal Code75005Geofield Contact City Paris Website https://www.sorbonne-universite.fr/ Street Jussieu Postal Code 75005 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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) Number of offers available1Company/InstituteRiboPro B.V.CountryNetherlandsGeofield Contact City Oss Website https://ribopro.eu/ Street Kloosterstraat 9 Postal Code 5349 AB STATUS: EXPIRED X (formerly
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Zuid 10Geofield Contact City Nijmegen Website http://www.radboudumc.nl/ Street Geert Grooteplein-Zuid 10 Postal Code 6525 GA STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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of offers available1Company/InstituteSwansea UniversityCountryUnited KingdomCitySwanseaGeofield Contact City Swansea Website http://www.swansea.ac.uk Street Singleton Park Postal Code SA28PP E-Mail a.d.shaw
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost