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programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic
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statistical physics/complex systems. The research activity of the local academic staff is supplemented by Nordita Scientific Programs, which bring together groups of leading experts to work on specific topics
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to build sequence dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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to work well both independently and in a team and have the ability to independently plan and conduct research Proficiency in spoken and written English Documented experience in publishing in international
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position is a full-time temporary employment for two years with the possibility to extend by one (1) more year provided project funding is available and the project goes according to plan. The monthly salary
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is carried out in close collaboration with industry and academic partners. Main responsibilities Develop a research plan and design test configurations in collaboration with senior researchers. Perform
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programming languages (e.g., Python, R). Experience working in a LINUX/UNIX environment. An excellent molecular biology skillset. Experience with NGS library preparation supported by a strong publication record
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the research on steel recycling and processing. Within the research subject Engineering Materials, there are several research programs spanning broad areas of metallic and ceramic materials research