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– at Umeå University, which hosts a Centre of Excellence focused on living systems under stress. IceLab brings together early-career and senior researchers from the life sciences, computer science, physics
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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Description of the workplace Professor Vasili Hauryliuk is research team manager of the Molecular Enzymology Group at the Department of Experimental Medical Science at Lund University. His research
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural
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and professors. Qualifications To qualify for this position you must have: - a PhD degree (or equivalent) in Applied Physics, Engineering Physics, Electrical Engineering or similar, awarded no more than
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relevant fields of biology (e.g., systems, evolutionary, developmental, computational), physics, mathematics or related fields. In the appointment process, special attention will be given to research skills
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relevant to the subject area. In the appointment process, special attention will be given to research skills. We are looking for candidates with wet-lab expertise in RNA biology and next-generation
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
The Department of Applied Physics and Electronics , Umeå University, currently has about 100 employees and conducts research in areas such as energy technology, laser spectroscopy, medical
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Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in