273 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions in Sweden
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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analyzing patient-derived samples. Methods used include analysis of genetic data, brain imaging data, health-registry data, and protein biochemistry, using statistical programs such as R, SPSS, PLINK
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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placed on the research plan submitted for the research project. As the projects are conducted in English, very good oral and written skills in the English language are required. Application process The
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Studies (CMES) coordinates the Strategic Research Area (SRA) “The Middle East in the Contemporary World” (MECW). The research program consists of four research themes: 1) Environment and sustainable
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requirements: Very good oral and written proficiency in English. Ability to drive and independently progress the project Strong computational skills with considerable experience with programming with python
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supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
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plan and execute experiments, and to make progress on their own initiative, are highly welcome to apply. As an employee with us, candidate can contribute to fostering an inclusive culture and a positive
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as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface