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/ Postdoc position in probabilistic methods for foundation and world models Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of
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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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/ Postdoctoral position in simulation-based inference for particle physics Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of
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Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing
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analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent. Extensive (3+ years) experience of applying and/or developing advanced machine learning and AI methods
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networks, education and mentorship. Qualifications Requirements A doctoral degree in computer science, machine learning, computational biology, bioinformatics, or a related field. This eligibility
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workday might involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research