50 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Umeå University
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supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in architectural visual representation and modelling in both 2D and
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educational backgrounds, including biostatistics, computational sciences, physics, bioinformatics, molecular biology, or related disciplines. We believe that varied perspectives, experiences, and competencies
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development. Work responsibilities The candidate will lead a multidisciplinary research program investigating the genotoxic and epigenetic effects of NPs. Responsibilities include developing mutagenesis assays
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Science and Nanotechnology, Atomic/Molecular and Optical Physics, Complex Systems and Computational Physics, Biophysics, and Plasma and Space physics. The Department is now seeking a postdoctoral researcher
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devote his-/or herself to his/her own education. More information about the doctoral education program at the Faculty of Medicine can be found at www.umu.se/en/faculty-of-medicine/education/doctoral
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plan and execute experiments, and to make progress on their own initiative, are highly welcome to apply. As an employee with us, candidate can contribute to fostering an inclusive culture and a positive
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, grant applications, and mentor colleagues in AI/ML and data analysis. Coordinate with collaborators and support data governance and FAIR practices. Qualifications Ph.D. in molecular biology, computational
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, microRNA biology, protein biochemistry, and/or plant molecular biology. The ability to independently plan one’s work, deepen understanding of the research question, and collaborate effectively within a team