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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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the properties of early galaxies to establish what are the important mechanisms that drive the evolution of massive galaxies and of galaxies during the epoch of reionization. About us Astronomy and plasma physics
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques
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machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid understanding of fluid dynamics and heat transfer, as
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importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models that will quantify the mechanisms, precursors and the time to failure. This will be
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of the Division of Dynamics are very broad, from several courses at bachelor level on mechanics and solid mechanics to masters' level courses such as finite element methods, rigid body dynamics, structural dynamics
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of the early Earth. By performing quantum mechanical calculations that model Titan-like conditions, you will investigate how life’s precursors might arise there. Your work will involve collaboration with
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Researcher (R1) Country Sweden Application Deadline 15 May 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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on mechanics and solid mechanics to masters' level courses such as finite element methods, rigid body dynamics, structural dynamics, and structural dynamics control. The aim of the Division is to be
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9 Mar 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Earth Sciences Research Field Agricultural sciences Biological sciences Chemistry