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mathematician (doctoral student). Karlsson’s group is part of the Division of Optimization and Systems Theory within the Department of Mathematics at KTH. Currently, a large focus of the group is to develop
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an individual research project, you will be responsible for setting up and evaluating data analysis, implementing models and networks, define optimal scientific protocols, and write scientific articles and
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-dimensional statistics, and optimization. Documented experience in working with biological data, especially genomics, or other types of high-dimensional data such as imaging. Excellent programming skills in
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spray pyrolysis to produce the nanoparticles and we will study in detail their physicochemical properties. We will link these characteristics to the achieved drug loadings and optimize the nanoparticle
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than 40 PhD students and postdocs. Research at the DSAI ranges from foundational methods in machine learning (e.g., optimization, bandits and reinforcement learning) to application domains in biophysics
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physiology of tumors, providing a platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional
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of the project is to optimize and advance methodologies in metabolomics, lipidomics and fluxomics, with the aim of making these services more widely accessible to the research community. SMC provides a wide range
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of the project is to optimize and advance methodologies in metabolomics, lipidomics and fluxomics, with the aim of making these services more widely accessible to the research community. SMC provides a wide range
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of responsibility We are looking for a driven research engineer to add to our Clinical Proteomics Platform -team. You will play an active role in optimizing and applying methods and protocols for the analysis of a
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ensure optimal use of MS data. Support the Proteomics Core Facility with ad-hoc analysis and pipelines. Combining data between open-source and/or commercially available software platforms for data