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), offers an exciting opportunity to work at the forefront of AI security, tackling some of the most pressing challenges in the field. As a PhD student, you devote most of your time to doctoral studies and
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24th April 2026 Languages English English English The Department of Mathematical Sciences has a vacancy for a PhD Candidate in Mathematical Foundations of Machine Learning for Sequential Data Apply
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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the research aspect, i.e. the PhD student works on a current research topic in the area of computer science in one of the computer science research groups of the University of Göttingen. The research
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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been the recipient of more than 73 Nobel Prize recipients, 15 of which came from the Department of Chemistry. Our current faculty have considerable strength in inorganic, organic, and physical chemistry
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welcoming headquarters for students in the Econ PhD Program. Ability to learn new computer systems. Appointment Information This is a 100% full-time Civil Service 5002 - Program Coordinator position
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funded by a EU programme Reference Number PR129500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Description: Power Systems group announces a position as PhD
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
multicultural environment; Opportunities for personal and career development; Free parking, use of company bikes and use of electric car charging station. Eligibility criteria Completed Master degree
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letter, CV, and the names and contacts of three references. Questions should be directed to: Wei-Xing Zong, PhD, Department of Chemical Biology, the Cancer Institute of New Jersey, Rutgers University, 164