29 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at SciLifeLab in Sweden
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is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university
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Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A
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data. Much focus is on large scale analysis based on machine learning, deep learning/AI, as well as handling and analyzing large 3D microscopy data. You will work with shorter and longer projects and
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representatives at the University of Gothenburg can be found here: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande Application To apply for a position at the University of Gothenburg, you have to
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and autoimmune diseases. Camilla Engblom: https://www.scilifelab.se/researchers/camilla-engblom/ Eduardo Villablanca: https://ki.se/en/research/research-areas-centres-and-networks/research-groups
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University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security
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entitles you to several benefits through our collective agreement. Location: Solna More information https://bensonlab.se/ Application An employment application must contain the following documents in English
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written English is required. The applicant should be capable of working both independently and as part of a team, with problem-solving skills and an openness to learning new methods. Assessment criteria
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School of Engineering Sciences at KTH Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral