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of subject for the position: Computer Science with specialization in Information Visualization and Visual Analytics Placement: Department of Computer Science, Faculty of Technology – Växjö Campus, Sweden
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of data-intensive technologies. Field of subject for the position: Computer Science with specialization in Information Visualization and Visual Analytics Placement: Department of Computer Science, Faculty
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Visual Analytics Placement: Department of Computer Science, Faculty of Technology – Växjö Campus, Sweden Employment: 100% employment full-time for two years with possibility for 1-year extension. At most
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, prognosis, and subphenotyping. Contributing to study design, choice of analytical methods, and methodological development. Visual presentation of analyses and results, as well as writing scientific
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deadline*. A strong background in particle and astroparticle physics, with a focus on dark matter and neutrinos. Strong analytical skills in quantum field theory. Master-level knowledge in solid state
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and astroparticle physics, with a focus on dark matter and neutrinos. Strong analytical skills in quantum field theory. Master-level knowledge in solid state physics (appreciated). A genuine curiosity
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corresponding functional analytic methods is required. Good knowledge of English (written and oral) is required, as well as strong collaborative skills and the ability to work independently. Prior experience with
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analytical skills and competence in handling large, complex datasets. We are looking for candidates with good communicative skills that thrives in international and cross-disciplinary settings. Therefore, good
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samples. Qualifications Requirements for employment are: - PhD in cancer research or stem cell biology - Research experience in genetics - Good analytical skills, high motivation and good collaborative
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engineering, mechatronics etc. The PhD degree must be awarded no more than three years prior to the application deadline. Required skillset Analytical understanding of Reinforcement Learning, Dynamics and