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biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
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. Experience in deep learning, computer vision, or neural network development. Experience with live-cell microscopy, fluorescence microscopy, or analysis of 3D/4D image data. Experience in cell biological
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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‑lab expertise, including Western blotting, DNA/RNA isolation, PCR and qPCR, and basic immunofluorescence imaging Experience in genetic engineering and genome editing (e.g. CRISPR). Demonstrated ability
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knowledge and experience: Educational background in Bioinformatics, Biostatistics, Computational/mathematical biology or a Biologically oriented engineering. Experience of working in Bash, and other relevant
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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. The Division of Data Science and AI (DSAI) at the Department of Computer Science and Engineering — part of the Faculty of Science and Technology — is a joint department between Chalmers University of Technology