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management, with a particular focus on computational methods. What we offer the successful candidate Do you want to become a research leader of tomorrow through pioneering projects and research ideas? If so
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For the doctoral programme in question, the following are considered as other qualifications: Practical experience with modern machine-learning methods applied to scientific problems. Practical experience with
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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cell biologists and computational scientists – at all career stages. Our multidisciplinary approach gets inspiration from the fields of immunology, developmental biology, stem cells, cancer biology and
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Department of Computer Science. The Graphics Group has a long history of internationally recognized research in the areas of Real-Time Rendering, Graphics Hardware and Ray Tracing. The Group has collaborations
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Two positions as Associate Senior Lecturer/Assistant Professor in Computational Science (PA2026/927)
University provides access to local and national e‑infrastructure for high‑performance computing and data management. Computational science is broadly defined as research that applies and develops methods
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace There is a growing research group in foundations of computer science at Lund
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace As a doctoral student you will be employed at the Department of Computer Science in
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tomography, computational resources, and laboratory facilities for experimental mechanics? The Division of Solid Mechanics conducts research within constitutive modelling, nonlinear numerical methods