30 postdoctoral-image-processing-in-computer-science-"EPIC" uni jobs at SciLifeLab in Sweden
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field that the employer considers relevant, such as advanced molecular cell biology, structural and/or functional imaging or application of computational modeling, machine learning and AI to understand
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processes and procedures for efficient information management. Administrative and communication support for programme-related events and sessions. Booking travel and accommodation. Contributing to event
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National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally
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/deep learning to improve workflows related to antibody engineering. Have documented experience from development of therapies for oncology applications. Have or have had a postdoctoral appointment. Have
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Project description Third-cycle subject: Medical Technology (Joint KTH-KI program) In
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Spatial Biology The PhD student’s research activities will focus on laboratory
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Spatial Biology Our laboratory has recently been awarded an ERC Synergy grant
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Biophysics environment at SciLifeLab, Solna, a collaborative hub for experimental and computational biophysics research. The shared resources, including cutting-edge cell biology laboratories, advanced
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology This Ph.D. position is in the Division of Systems Biology, part of
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, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of