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creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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/InstituteSchool of Electrical Engineering ans Computer ScienceCountrySwedenState/ProvinceStockholmCityStockholmPostal Code10044StreetBrinellvägen 8Geofield Contact City Stockholm Website https://www.kth.se/en
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application: Experience in system identification and machine learning is a merit. What you will do Perform research, developing your own scientific concepts and communicating the results of your research
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with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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textile value chains and business models, in order to address optimisation problems and sustainability challenges. You will teach in textile management with a main focus on supply chain management
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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6 Mar 2026 Job Information Organisation/Company Örebro University Research Field Computer science » Computer architecture Computer science » Other Researcher Profile First Stage Researcher (R1
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modeling, machine learning, and AI techniques applied to biomedical data is a plus. Clinical Proteomics: Experience with clinical trial data, real-world evidence (RWE), and biomarker-driven trial designs is