928 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" positions in Sweden
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two
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total of approximately 1,400 employees and 17,700 students spread across two inspiring campus environments in Karlstad and Arvika. More information at: kau.se/en/work-with-us Description We are seeking a
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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the field To be successful in this role you need to have the following qualifications Following a university curriculum High school level, computer knowledge, technical interest. Experience in high level
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project follow-ups. More information about MoRe‑Lab and our activities is available on our website . We offer Lund University is a public authority which means that employees get particular benefits
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has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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analysis of life cycle analysis data Have at least a basic knowledge in the methodology of systematic reviews Have experience in translational research Additional qualifications for the position
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace InfraVis is Sweden’s national infrastructure for visualization of scientific data
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, immunohistochemistry, chromatography, and surface plasmon resonance (SPR). Strong ability to analyze and interpret quantitative proteomics data in R and/or Python, as well as experience in integrative bioinformatic