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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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competitive performance. This position is supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative
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, contacting potential students interested in your programme. Answer questions from prospective students. Alumni recruitment activities. Coordinate social activities. Other ad-hoc activities, such as recording
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Structures and the BioGlue Centre are based. The departments work closely with neighboring units to foster a creative environment, offering challenging educational programs and cutting-edge research. Research
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qualifications (preferable) EU B driving license. Drone pilot certification. Basic skills in low-level programming or embedded systems. Experience with simulation tools (Gazebo, Unity). Familiarity with FEM
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data Driven Life Science (DDLS) aims to recruit and train the next generation of data driven life scientists
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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) The special requirements are fulfilled by those who have completed a law programme and obtained the degree Master of Laws (juris kandidatexamen/juristexamen). The special requirements may also be fulfilled by
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, mathematics, or a related field. Ability to independently conduct large-scale genetic analyses (GWAS). Expertise in bioinformatics/statistics, including programming (e.g., R or Python). We are searching
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characterization (SEM, EDX, etc) Aerosol physics Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary teamwork Fieldwork and particle sampling e.g. on/from vehicles Swedish language skills