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KTH Royal Institute of Technology, Scool of Electrical Engineering and Computer Science Job description Cellular morphology reflects fundamental biological processes such as division
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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for functional reactor or fluidic systems. Experience with high-speed imaging, pressure measurements, or cavitation evaluation. Demonstrated ability to work independently while maintaining strong collaborative
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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systems for diagnostics and treatment. Core activities include signal processing, antenna design, and measurement hardware development. Building complete prototype systems for clinical testing is a central
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a collaborative and dynamic environment. About us The Department of Architecture and Civil Engineering tackles the defining challenges of our time—from resource scarcity and climate change
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sequencing or spatial transcriptomics. Candidates without substantial practical experience in stereotaxic surgery combined with neural recording or imaging will not be competitive for this position. Duties
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Join us at the Division of Chemical Biology, Department of Life Sciences, and help advance knowledge in the field of microbial molecular biology. About us The Department of Life Sciences conducts
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science