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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification in large pre-trained models (vision-language models), generative models (flow
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analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Sequence library design
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/ Postdoctoral position in simulation-based inference for particle physics Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of
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Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing
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analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent. Extensive (3+ years) experience of applying and/or developing advanced machine learning and AI methods
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/ Careers / Doctoral student in Infection Biophysics and Microengineering School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics The Hannebelle Lab at the Division
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nationally, computational image analysis work, presentations, writing protocols and reports. You enjoy being up to date with EM and image analysis software developments, test and implement new developments, as
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linked to CREATE Health , which is a center dedicated to using advanced technology to advance cancer research across various areas, managed under the Department of Immunotechnology. Through the
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research