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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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of neural networks and other symbolic techniques with applications ranging from mathematics to cognitive science, and often in cross-disciplinary collaborations. In this project the PhD student will work
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Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics. Additional requirements In order to complete the doctoral programme in question
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student, you must have a master's level degree in a relevant field (e.g., physics, mathematics, or computer science). Equivalent requirements apply to individuals with an education earned outside of Sweden
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Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses
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Health and Social Care Systems. The position is available within the Privacy & Security (PriSec) research group at the Department of Mathematics and Computer Science. The Department of Mathematics and
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN