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29 Aug 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Mechanical engineering Engineering » Nuclear engineering Engineering » Other
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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(LES). Strong knowledge in the analysis of large DNS and LES datasets, and the ability to use this data to develop reduced-order models for combustion simulations. Strong analytical skills and a proven
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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University is offering a postdoctoral scholarship within optical metrology linked to machine learning. The postdoctoral scholarship is full-time 6 months, beginning on October 15 , 2025, or as agreed upon
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genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr. Lappalainen and interactions with colleagues in the lab
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical