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contribute to open science practices. Responsibilities are: Planning and conducting large-scale cross-sectional data collections Independently performing appropriate statistical and computational data analyses
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Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other
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Week 40 Offer Starting Date 1 Jul 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Application Marie Curie Grant Agreement Number 101225527
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28 Feb 2026 Job Information Organisation/Company Radboud University Research Field Political sciences » Public policy Political sciences » Science and society Researcher Profile First Stage
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emotions Process data and conduct a range of advanced statistical analyses (including computational methods to analyse high-dimensional behavioural and physiological data) Write high-quality scientific
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passion for scientific research are therefore essential qualities. Keywords Corporate ownership and governance strategy, corporate strategy, CxOs, corporate-startup collaboration, digital transformation
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about shaping
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. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific
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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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scholars who have made valuable and innovative contributions to science or scientific practice. These contributions may relate to the themes identified in the Recognition & Rewards programme : research