900 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions in Sweden
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within applied mathematics, materials science, physics and building science. Mathematical statistics is an important part of these four areas of research. Relevant applications include machine learning
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quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not mandatory. Excellent written and
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students, researchers, associate professors, and a professor. The successful applicant will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department
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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department: https://www.slu.se/en/about-slu/organisation
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of Excellence. In collaboration with Umeå School of Education, the Department of Language Studies is looking for a doctoral student in language teaching and learning. The Department of Language Studies
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ST-OFR/S, tel: +46 21-10 14 89 We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment. Contact person URL to this page https
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical Modelling and Optimization. Documented good profiency in software development. Good
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trade union organizations, military service, or other similar circumstances, as well as clinical service or other service/assignments relevant to the subject area. About us The Swedish University
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Join us at the forefront of life science AI. We are looking for a postdoctoral researcher to develop cutting‑edge, multimodal transformer‑based deep learning methods to extract insight from genomic