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Field
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medical imaging using deep learning methods. Proved by strong track record of publications in top-tier AI and medical imaging conferences/journals. 3. Solid mathematical background, excellent programming
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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Engineering » Systems engineering Engineering » Other Mathematics » Mathematical analysis Technology » Energy technology Researcher Profile Recognised Researcher (R2) Application Deadline 11 Aug 2026 - 21:59
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, electrical engineering, cognitive science, applied mathematics, physics, or a related field. Strong computational background and hands-on experience building AI/ML models. Expertise in modern architectures
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At AAU Energy, a position as Postdoc in sodium-ion battery state estimation is open for appointment from 1st of November 2026 or as soon as possible hereafter. The position is available for a period of 20 months and is based at Aalborg University’s campus in Aalborg. You will be part of the...
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, reviewing and grading exercises/exams, etc. To provide mentoring and support to students. Applicants must have received a PhD in engineering, computer science, urban science, applied mathematics, or a related
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of the course. Other duties as assigned. Qualifications Required qualifications Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, Computational Science
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will begin from June 2026. Education and Background PhD degree in a relevant quantitative discipline such as Bioinformatics, Statistics, Mathematics, Data Engineering, or Biomedical Engineering
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Qualifications: A Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable
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Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable AI, …) and