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PhD in Materials Science Norrkoping Reference number LiU-2026-03852 Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires
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PhD student focusing on Machine Learning of Geometric Representations at ISY Linkoping Reference number LiU-2026-03853 We have the power of over 50,000 students and co-workers. Students who provide
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in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 16, 2026
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. Researchers with prior experience using molecular dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply.The project
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involve developing and applying high-fidelity CFD models of turbulent flows in hydraulic turbines, integrating machine learning and deep reinforcement learning algorithms with numerical simulations
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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engineering systems through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on
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mathematics, or a related field Practical experience with AI, machine learning, data analytics, or related computational methods Ability to apply technical knowledge to real-world problems Experience
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) will work at the interface of structural bioinformatics, machine learning, and membrane biology, in close collaboration with experimental groups in membrane biology and structural biology. The Elofsson