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9 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Other Researcher Profile
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
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the order of its four building blocks, we can make DNA and RNA fold into precise nanoscale machines, carry out logical computations, and store and read out information. We are looking for one or two
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. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in these domains creates many new opportunities
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simulations of materials that can exhibit neuromorphic behavior. The work involves the use and development of advanced computational methods, such as atomistic spin dynamics (ASD) and electronic structure
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a modern view of the statistical subject, where probabilistic models are combined with computational algorithms to solve challenging complex problems, as well as a statistical view of machine learning
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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Ref no: ORU 2.1.1-03949/2026 We are looking for a postdoctoral researcher in Computer Science for a fixed-term 2-year position at the School of Science and Technology. Subject area The subject area