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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
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the position, but up to no more than 20% of working time. Teaching may involve course student lab supervision, tutoring of problem-based learning, or lecturing. The position includes the opportunity for three
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analytical and biochemical methods, molecular barcoding, sequencing, and high dimensional data analytics. The project will be implemented in collaboration with other groups at Department of Molecular Biology
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the appointment decision is made. To be eligible for this specific position, you should also have: Strong skills in programming and analytical tools, particularly R, including data visualization. Documented
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ways to transform towards them. Finally, we will synthesize our learning across cases to enhance causal multispecies understanding of biodiversity. The postdoctor will work with the Swedish team but is
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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. Last day for application is 2026-02-28. Departmental specific information At the Department of Diagnostics and Intervention, we conduct research and teach within nine different subject areas, working
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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in environmental, industrial and medical contexts. Thus, the project is interdisciplinary and positioned at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc
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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and