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/InstituteEindhoven University of TechnologyCountryNetherlandsGeofield Contact State/Province Noord Brabant City Eindhoven Website http://tue.nl Street PO Box 513 Postal Code 5600BM E-Mail c.g.murguia@tue.nl Phone
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://www.maastrichtuniversity.nl/ Street Minderbroedersberg 4 Postal Code 6211 LK STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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://www.maastrichtuniversity.nl/ Street Minderbroedersberg 4 Postal Code 6211 LK STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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://www.universiteittwente.nl/ Street Drienerlolaan 5 Postal Code 7522 NB STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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/ Street Spui 21 Postal Code 1012 WX STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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/InstituteUvACountryNetherlandsCityAmsterdamPostal Code1018WVStreetNieuwe Achtergracht 166 Contact City Amsterdam Website http://www.uva.nl/ Street Spui 21 Postal Code 1012 WX STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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information in unstructured free-text notes. While structured (coded) fields are commonly reused for research, a substantial amount of nuanced and context-rich patient information remains locked in the large
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autonomously in - as well as collaborate on - the collection, coding and analysis of data, through doctrinal/literature research, focus groups and Delphi study; Present intermediate research results in internal
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, including functional connectivity analyses Curate and share data and code following BIDS and open science standards Contribute to scientific publications and conference presentations The project is expected
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch