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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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during infection using machine learning Detailed information on and specific requirements for each project is given below. The IceLab Multidisciplinary Postdoctoral Program funded by Kempestiftelserna
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friendly, curious and skillful staff with different backgrounds. Your main work tasks will be Develop the serial crystallography user program at MicroMAX together with the MicroMAX team and the MX group Lead
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
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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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-based analysis of the samples with cell-based assays. Qualifications To qualify for this appointment as a teaching assistant, you must be admitted to a study programme (master's level). It is also an
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international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a position as a system developer at
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project in collaboration with AstraZeneca Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers University of Technology conducts
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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