239 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs in Sweden
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Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment
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to independently plan, troubleshoot, quality-assure and document complex experimental workflows; • excellent oral and written scientific communication skills in English. Desirable qualifications Experience
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of pancreatic cancer. This group is led by Associate Senior Lecturer Dr. Qiaoli Wang, as part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS). Group members will be enrolled
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technologies in relevant societal areas. The duties may also include participation in departmental and faculty-wide administrative and management-related tasks, such as committee work, programme development and
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, neuroscience, statistics, quantitative biology, physics, mathematics or a related discipline. At least 3 years additional relevant research experience beyond MSc Fluency in Python or R programming language
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software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation, ability to quickly learn new
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Requirements for the position are: M.Sc. in engineering, neuroscience, statistics, quantitative biology, physics, mathematics or a related discipline. Fluency in Python programming language. Experience in
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of biochemistry and biophysics, at Stockholm university. For more information about us, please visit: www.dbb.su.se . Main responsibilities The SciLifeLab and Wallenberg National Program for Data-Driven Life
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will be employed, offers courses for the program Drug Analysis – Bachelor Programme in Chemistry, MSc Programme in Chemical Engineering, and MSc Programme in Energy and Environmental Engineering. If
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Experience with flow cytometry and cellular functional assays Ability to independently plan, execute and analyse research projects Excellent written and spoken English Additional qualifications Experience with