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qualifications You have graduated at Master’s level in computer science or completed courses with a minimum of 240 credits, at least 60 of which must be advanced courses in computer science, mathematics, AI
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9...
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. Both are part of the Department of Mathematics and Computer Science, which provides a vibrant, inspiring, collaborative, and highly international environment for your work. Due to the postdoctoral
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intelligence for more efficient mathematical and computational approaches. Subject description The work focuses on the design and optimization of various types of turbomachinery. The design and optimization
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at – or in close collaboration with – several partner organisations. The candidate is therefore expected to have expertise in energy system modelling, propulsion technology, aircraft design and mathematical
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– several partner organisations. The candidate is therefore expected to have expertise in energy system modelling, propulsion technology, aircraft design and mathematical optimisation, and to collaborate
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23 Sep 2025 Job Information Organisation/Company Blekinge Institute of Technology Department Department of Mathematics and Natural Sciences Research Field Engineering » Systems engineering
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Magister degree (60 credits) in Mathematics, Physics, Electrical Engineering, Mechanical Engineering, or a related field. A strong mathematical foundation and excellent academic performance are expected
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Stockholm University, Department of Mathematics Position ID: 2543-PDGA [#26489] Position Title: Position Type: Postdoctoral Position Location: Stockholm, Stockholm 106 91, Sweden [map ] Subject Area
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, and mathematics. Algoryx, also based in Umeå, specializes in software and solutions for real-time physics simulation with a focus on robotics and heavy machinery. Approximately 75% of the staff