48 parallel-computing-numerical-methods positions at KTH Royal Institute of Technology
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science This Ph.D. project will develop fundamental theory and methods in distributed systems
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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24 Jan 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 1 Feb
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5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Physics
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5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application
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be on development of novel computational methods for gaining fundamental insights into healthy and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal
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20 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Researcher Profile First Stage Researcher
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5 Dec 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description To achieve
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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing