396 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs in Sweden
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modeling, machine learning, and AI techniques applied to biomedical data is a plus. Clinical Proteomics: Experience with clinical trial data, real-world evidence (RWE), and biomarker-driven trial designs is
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technology, driven by high-quality research and education, openness and collaboration. As a Teaching Fellow, you will contribute to this goal through engaging teaching and learning in a collegial and inclusive
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-529974, Personnel Officer Marianne Palmér (marianne.palmer@lnu.se ), +46-(0)480-447303 Would you like to know more about the department of biology and environmental science? Learn more at Lnu.se. Welcome
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Engineers. The offices also host computer infrastructure and machine learning/data science/research data management experts, who develop, build, and manage the local and national resources for large-scale
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samples in transmission. Weeks 26-27: Learn the analysis programs. Populate the SpecTable library with newly collected data sets. This is a unique opportunity to gain hands-on experience in a cutting-edge
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the right of priority for re-employment at Mälardalen University, please contact the Division of Human Resources. HR-avdelningen URL to this page https://web103.reachmee.com/ext/I018/1151/main?site=8
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
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The applicant will be expected to: develop and lead internationally successful research; develop, lead and participate in teaching at first, second and third cycle level; primarily teach within the subbject, in
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university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact information to trade union representatives. To apply
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initiated by a six months trial period. Want to make a difference? Join us and contribute to better health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:911408/type:job/where:39/apply