22 condition-monitoring-machine-learning PhD positions at Radboud University in Netherlands
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join us as a PhD candidate. You will work in a highly interdisciplinary group, at the intersection of physics, machine learning and theoretical neuroscience. Our group is focused on investigating
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Deadline 8 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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recent advances in machine learning and browser automation, the project aims to provide tools, techniques and datasets to effectively address these threats. As a PhD candidate, you will play a key role in
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. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . A PhD track at Radboud University gives you room to follow your
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, secondments and network training activities. Your teaching load may be up to 10% of your working time. You will also have opportunities to develop your teaching skills. Would you like to learn more about what
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, secondments and network training activities. Your teaching load may be up to 10% of your working time. You will also have opportunities to develop your teaching skills. Would you like to learn more about what
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Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 18 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded
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Profile First Stage Researcher (R1) Country Netherlands Application Deadline 18 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through
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or computational neuroscience/machine learning. You possess solid programming and software engineering skills. You have excellent written and spoken English skills. You are a proactive team player, who enjoys
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the way towards a better understanding of possibilities for novel low‐power microelectronic applications. Your teaching load may be up to 10% of your working time. Would you like to learn more about what