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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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project has a strong focus on developing and applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include
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research in the field of electrical machines and electrical modelling, we are now looking for a Postdoctoral Fellow with ambitions within the academy for a two-year employment. Subject description
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interpretation of culture and memory, as well as its influence on creativity and the dynamics of human-machine interaction. Second, it investigates how collaborations driven by AI are reshaping creative
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
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Experience of research in a laboratory is a plus Experience in systems programming and computer security is advantageous Scientific skills. Educational ability. Awareness of diversity and equal treatment