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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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could be included depending on candidate’s competence and preferences. Higher Education Organization Studies (HEOS) is an interdisciplinary group studying the preconditions for education and learning as
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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the Master’s programmes in Biomedical Engineering, Systems, Control and Mechatronics, Communication Engineering, and Electrical Power Engineering. Learn more: www.chalmers.se/en/departments/e2 Main
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cell reactors. A post-doc takes an active part in shaping and correcting the research direction together with the supervisors. Various tasks assigned to the post-doc include continuous learning and
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sequencing, and with computer scientists at KTH in Stockholm, focused on developing scalable probabilistic machine learning techniques for online phylogenomic analysis and placement of DNA barcodes. You will
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leadership with Kristina Lindström and Li Jönsson HR partner Stiina Salmgren, stiina.salmgren@lnu.se Would you like to know more about the Department of Design and the Faculty of Arts and Humanities, learn
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postdocs. Research areas include wireless communication, optical communication, coding theory, information theory, and machine learning. We value diversity and believe that a mix of backgrounds and