193 data-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Sweden
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Information Technology conducts broad research in cryptography, computer security, wireless and wired networks. The Security Group has around 20 members. The main research areas are cryptography, privacy, and
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Therapy (MMGT) at the Biomedical Centre (BMC). MMGT houses labs with a variety of complementary expertise in stem cell biology and gene editing. More information on the lab can be found at leighnd.github.io
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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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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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to terawatt lasers at the High-Power Laser Laboratory. The research areas include the interaction between intense laser fields and matter, attosecond science, quantum information, solid-state X-ray
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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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information about us, please visit: The Department of Environmental Science . SciLifeLab houses national research infrastructures and has a mission to provide cutting-edge and enabling molecular technologies
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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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, 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
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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