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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science The project focuses on advancing species
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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have a background in bioinformatics, computational cancer biology, or related fields with experience in cancer and data-driven research. For more details about our research visit: www.alundberg.org
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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academic leaders within SciLifeLab and Wallenberg’s national program for data-driven life science (DDLS fellows) and the fellow programs at the Wallenberg Centers for Molecular Medicine (WCMM fellows
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https
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through a collaboration between four Swedish universities: Karolinska Institutet (KI), KTH Royal Institute of Technology, Stockholm University (SU), and Uppsala University (UU). Our mission is to develop
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KTH Royal Institute of Technology, School of Engineering Sciences Subject field Advanced Light Microscopy. Subject description The subject covers the development and application of innovative