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, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
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requirement. Strong merits include documented experience in studying enzyme mechanisms employing biophysical or structural approaches. Familiarity with molecular biology, biochemistry, theoretical chemistry and
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. Good skills in programming (e.g. Matlab, Python, C/C++) Strong written and verbal communication skills in English The following experience will strengthen your application: Experience with radars
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tasks As a PhD student, you will be part of a research team that combines experimental and computational methods to understand membrane protein transport and signalling processes. The focus is to develop
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. Documented technical qualifications: Practical experience and theoretical knowledge on/in: advanced analytical chemistry methods for organic matter characterization and pollutants measurements are highly
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both qualitative and quantitative methods, e.g., case studies, interviews, applied analytics, and field experiments. By developing new theories and applications, you will have the opportunity to solve
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the Royal Institute of Technology, Stockholm. Dahlin’s team works at the intersection between experimental and computational medicine to map blood cell development at the single-cell level. This is performed
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applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we
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qualifications and expertise and the motivation to apply for the announced position (1-2 pages), Curriculum vitae (including education, academic and non-academic work experience), Authenticated copies of degree
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no later than May 22, 2025. Applications and documents received after the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity