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University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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be favorably considered. If you are a non-Swedish speaker, we expect you to try to learn Swedish when you start your position (SLU arranges Swedish courses). Emphasis will be placed on personal
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(email address and telephone number), and 7) any publications. You are welcome to submit your application no later than 2 November 2026.UFV-PA 2026/2671. Where to apply Website https://uu.varbi.com/en
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 21 days ago
University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical Science comprises carrying out a scientific project
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to apply Website https://uu.varbi.com/en/what:job/jobID:970239/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUppsala
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working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn
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research experience in e-health, digital health or a related field experience of, or a documented interest in, machine learning, AI methods or large language models (LLMs) in clinical or health-related
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department of Energy and Technology, SLU https://www.slu.se/en/departments/energy-technology/ Read more about staff benefits and life as an SLU employee on https://www.slu.se/om-slu/jobba-pa-slu/ Read more
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta