295 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD scholarships in Netherlands
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and spoken English. For more details, please check the Graduate Schools Admission Requirements: https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . Dutch is not obligatory; TU Delft offers
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/eCountryNetherlandsCityEindhovenPostal Code5612AZStreetDe ZaaleGeofield Contact City Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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of offers available1Company/InstituteTU/eCountryNetherlandsCityEindhovenPostal Code5612AZStreetDe ZaaleGeofield Contact City Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS
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)CountryNetherlandsCityRotterdamPostal Code3062 PAStreetBurgemeester Oudlaan 50Geofield Contact City Rotterdam Website http://www.eur.nl/ Street Burgemeester Oudlaan 50 Postal Code 3062 PA STATUS: EXPIRED X (formerly Twitter) Facebook
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http://www.eur.nl/ Street Burgemeester Oudlaan 50 Postal Code 3062 PA STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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PAStreetBurgemeester Oudlaan 50Geofield Contact City Rotterdam Website http://www.eur.nl/ Street Burgemeester Oudlaan 50 Postal Code 3062 PA STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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Rotterdam Website http://www.eur.nl/ Street Burgemeester Oudlaan 50 Postal Code 3062 PA STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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· Monday 1 December 2025, 10:00-11:00 CET. Sign up for this event More information about the Full-time PhD in Management programme can be found on the RSM website Where to apply Website https
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Science, Engineering, Policy Analysis, Economics, Environmental Science) with demonstrated proficiency in coding and/or quantitative analysis. Interest in machine learning, computational modelling, systems thinking, and