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Field
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and expertise are required: PhD in a relevant area e.g. with bioinformatics, computer science or similar At least five years’ experience of working in a research environment with bioinformatics
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. More information on English language requirements can be found at: https://www.slu.se/utbildning/program-kurser/forskarutbildning/att-bli-doktorand/ Please note that applicants invited to interview must
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of Microtechnology and Nanoscience. Join our innovative theory team and contribute to exciting research in scaling up quantum computers and other quantum technologies in a collaborative and dynamic environment. About
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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than 1,800 employees and nearly 21,600 students. The Machine Learning group at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is now looking for students
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reliable system data for cybersecurity monitoring and forensic analysis. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans
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methodologies from field and greenhouse experiments to genetics, genomics, phenomics, gene editing, biochemistry, physiology and modelling. For more information about the department or division visit: https
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Cardiovascular research