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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and
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, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing advanced machine learning and AI methods in internationally competitive life science
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should have: a Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent. Extensive (3+ years) experience of applying and/or
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lies in biology, it intersects with other disciplines such as medicine, computer science, mathematics, chemistry, engineering, and physics. The department employs over 200 staff members, including
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epidemiology, statistics, bioinformatics, and cancer biology. We have both “dry lab” and “wet lab” components. Currently the group consists of 1 associate senior lecturer, 1 postdoctoral researcher, 1
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School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics The Hannebelle Lab at the Division of Biophysics, Department of Applied Physics, studies
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personal letter will not be considered in the selection process. A background check may be conducted as part of the application process. Please use the button at the bottom of the page to reach the
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groups with research projects and to achieve results. Additional qualifications Relevant postdoctoral studies or equivalent industry experience are a strong merit but not a requirement. Experience of
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including epidemiology, statistics, bioinformatics, and cancer biology. We have both “dry lab” and “wet lab” components. Currently the group consists of 2 postdoctoral researchers, 1 statistician (part-time
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statistics, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including