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project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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Computational Science, Software Engineering or Computational Physics. Experience in programming (python, C++, fortran...), data management and/or visualization is needed. Experiences in plasma physics is meriting
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AI, Autonomous Systems and Software Program (WASP). As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
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partners in research and education. The department works together with the neighboring departments for a creative environment with challenging educational program and cutting-edge research. Research in
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to complete the programme. Additional requirements: Very good oral and written proficiency in English. Very good knowledge in materials science or chemistry relevant for the position, for example chemistry of
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the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and
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—an area of strategic importance for both MTM and iRiSC. The successful candidate will contribute to national and international research programs such as PARC, NanoSafety2, OneBlue, and EIRENE while engaging
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules