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Field
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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Solid knowledge in mathematics (linear algebra
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of the University of Twente: Semantics, Cybersecurity and Services section within the Faculty of Electrical Engineering, Mathematics and Computer Science; Financial Engineering and Business Information Systems and
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of the University of Twente: Semantics, Cybersecurity and Services section within the Faculty of Electrical Engineering, Mathematics and Computer Science; Financial Engineering and Business Information Systems and
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of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and
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applicants must have (or be close to obtaining) a PhD in Computer Science, Information Engineering, Statistics, Chemistry, Biology, or a related area, with extensive research experience and a strong
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of psychology, cognitive science, and mathematics, we are looking for someone who is motivated to work in a multidisciplinary team and able to collaborate across fields. Your experience and profile: A (research
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physics, electrical engineering, image processing, computer vision, AI, machine learning, data science, computer science, applied mathematics, or in a similar field, or have completed at least 240 credits
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honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics, Mathematics, or a related discipline. Applicants should also demonstrate evidence of
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Degree or equivalent Skills/Qualifications Essential Strong background in applied mathematics, mathematical biology, or computational modelling. Experience with partial differential equations (PDEs) and
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engineering applied mathematics civil engineering geotechnical engineering applied physics other related disciplines. Demonstrated knowledge or experience in any of the following: computational fluid dynamics