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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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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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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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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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, 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
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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
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network spanning materials science, AI, and computational imaging. Submission is possible until: 17 October 2025 Requirements Master’s degree in Computer Science, Materials Science, Physics, Mathematics
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Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg | Sweden | 13 days ago
imaging data – to enable rational drug target identification as well as to increase our understanding of the underlying biology. Aim 1. Develop a mathematical model for Ca2+ signaling in both single and