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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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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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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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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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), 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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19 Mar 2026 Job Information Organisation/Company Institute of materials and machine mechanics Slovak academy of sciences Research Field Engineering » Materials engineering Engineering » Computer
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. The Department of Geosciences is one of eight departments in the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298154/phd-candidate-in-hard-roc… Requirements
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . The Cruchaga lab (https://cruchagalab.wustl.edu/ ) at Washington University School of Medicine has a
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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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