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rerum naturalium, abbreviated to Dr rer nat) or the academic title PhD. The Department of Mathematics and Computer Science confers the academic degree of Dr rer nat. Alternatively, women can be awarded
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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://www.academictransfer.com/en/jobs/359550/assistant-professor-in-artifici… Requirements Specific Requirements Motivated researcher, with a PhD in Computer Science, Software Engineering, Artificial Intelligence or a comparable
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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. Funding Notes Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can also apply for a scholarship from the University
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. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content International Max Planck Research School – Biological
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B2), full command of German (German level B2) Preferred: Insights into administrative processes and the curriculum of the JKU Artificial Intelligence program Willingness and ability to work in a team
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Intelligence, or Cybersecurity, or closely related fields, and with a suitable scientific and professional curriculum may apply. The candidate(s) must be enrolled in a MSc program - art. 6º, n.4 b) https
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strengths (e.g., cognitive-behavioral approaches, mindfulness-based treatments). The successful candidate will work within our interdisciplinary program in the Department of Psychiatry & Behavioral Health
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4