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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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observations and the current climate, so that we can describe the effects of climate change and the impact to the financial sector? Are you our new colleague? We are looking for a PhD candidate to develop AI
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neurological populations. Additional responsibilities may include mentoring BSc and MSc students and taking on limited teaching duties. Would you like to learn more about what it’s like to pursue a PhD at
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unprecedented clarity. The project combines high-resolution analysis of genetic, epigenetic and gene expression variation between apomictic plants, which exposes putative natural epialleles (this PhD project
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students and taking on limited teaching duties. 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 . Where to apply
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Researcher (R1) Positions PhD Positions Application Deadline 17 Aug 2026 - 17:00 (Europe/Amsterdam) Country Netherlands Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive