12 master-"https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions at SciLifeLab
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are responsible for the Bachelor and Master programs in Chemistry, and the Master of Science in Chemical Engineering, together with the Faculty of Pharmacy. We provide courses and parts of courses to other
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visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100% Start date: 1st of September 2026
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of Gene Technology, SciLifeLab, as well as leading international research groups. The job involves developing and executing primary research projects in computational biology, leading to dissemination and
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. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. https://liu.se/en/employee/bjofo78 https://www.nsc.liu.se/systems
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of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
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, as well as leading international research groups. The job involves developing and executing primary research projects in computational biology, leading to dissemination and publication in academic
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entitles you to several benefits through our collective agreement. Location: Solna More information https://bensonlab.se/ Application An employment application must contain the following documents in English
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Supervise doctoral and/or master students Promote a culture of collaboration within the laboratory Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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studies. The main research areas include sensitization, immuno-oncology, and biomarkers. The modern facilities are located at Medicon Village, where academic research is carried out side by side with
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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