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- Swedish University of Agricultural Sciences
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expertise with close collaboration with farming enterprises, industry, and advisory services. Teaching is primarily conducted within the MSc in Engineering programme in Bioresource Systems, in courses such as
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Data-Driven Life Science (DDLS) programme. We have a national mission and develop services for life science data and e-infrastructure, as well as work with issues related to FAIR principles, open science
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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 - with focus on research Do you want to contribute to improving
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for SciLifeLab’s technology platforms and other SciLifeLab-organised programmes and activities, including the national Data-Driven Life Science (DDLS) programme. We have a national mission and develop services
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Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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the BioImage Informatics team (https://www.scilifelab.se/units/bioimage-informatics/ ). This employment is funded through NBIS under the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Work tasks As a staff scientist, you will provide researchers with expertise in the planning and analysis of electron microscopy
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laser remote sensing to stratospheric research. There will be opportunities to contribute to and benefit from these and more parallel research threads within our group. The project sits
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. The department is BTH's largest department, with 70 people. The research at the department is conducted in the area of computer science. This includes the subareas of big data and AI, parallel computer systems