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machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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(PriSec) at the Department of Mathematics and Computer Science at Karlstad University. Research within PriSec is specialized in privacy-enhancing technologies (PETs) and privacy engineering, network
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background in biology, programming or mathematics is meritorious. Knowledge in medical image processing, image registration, and large-scale analyses of genetic (including Mendelian randomization), protein, or
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13 Mar 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Lunds universitet, Faculty of Science Research Field Physics » Mathematical physics Researcher Profile
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maximum of 20% of full-time. Your qualifications You have graduated at Master’s level in computer science or mathematics or completed courses with a minimum of 240 credits, at least 60 of which must be in
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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departmental duties, up to a maximum of 20% of full-time. Your qualifications You have a Master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed
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, engineering physics, computer science, applied mathematics or have completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses within the topics mentioned above
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competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems) and Automation and Logistics. Read