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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members
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from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics. Your qualities The project requires the development of both numerical skills
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Mechanical Engineering, Electrical Engineering, Physics, or Energy Science, and a strong analytical background in mathematics and physics. You bring experience and knowledge in the following areas: modelling
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Data Science, Data Analysis, Computer Science, or Mathematics Strong programming skills (e.g., Python, C/C++, C#, Java, Scala or similar) Solid academic record (GPA B or higher on master’s degree and
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8 Sep 2025 Job Information Organisation/Company University of Bucharest Department Faculty of Mathematics and Computer Science Research Field Computer science » Informatics Researcher Profile First
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university; Strong interest in nonequilibrium statistical physics and the physics
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Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information Technology will also be considered, but it will further be required that they also have a strong interest in
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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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engineering (or a closely related field), with a solid foundation in mathematics (e.g., matrix algebra) and coursework in areas such as digital signal processing, sound processing, and machine learning