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biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
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Qualifications You must have at least 240 higher education credits (hc), of which at least 60 hc are at an advanced level, in natural sciences, life sciences, or engineering Applicants must be skilled in both oral
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Department of Animal Biosciences Technology Description of the doctoral project: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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methods (e.g. machine learning methods and many other methods) to harmonize historical and current pathogen nomenclature, standardize laboratory test methods and result vocabularies, and translate clinical
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff
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of scientific publications. Additional duties may be assigned within the scope of the position. Qualifications Requirements for the Position A Master’s degree or equivalent in bioinformatics, engineering physics
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for cardiometabolic and liver diseases. Current therapeutic strategies largely operate at the gene level, overlooking the functional diversity generated by alternative splicing. This project addresses this critical gap
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frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology
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and machine learning, engineering physics, molecular biotechnology engineering, data sciences, applied mathematics, or another related field, or have completed at least 240 credits in higher education