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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The National Spatial Proteomics Facility is a unit within the
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motivated candidate to join our team. Applicants should hold a masters’ degree (or equivalent) in molecular biology, biotechnology or another relevant life science or related fields. We place great emphasis
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the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science
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qualities Requirements: The applicant must have a master’s degree in biomedical or health sciences: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a
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the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science