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Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine learning and simulation-based inference
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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
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, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic machine learning for the next
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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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working with large population-based cohorts and clinical biobanks. The student will learn how to scientifically assess the study quality, perform appropriate study design, conduct high-quality omics
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individual structures that greatly affect diseased cells. The work is carried out in close collaboration with co-supervisors, and spans a broad set of techniques including DNA nanostructure design and
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instrumentation. Develop methods to improve acute tissue slice culture, cryopreservation and distribution. Analyze the generated data, design and perform validations through tissue imaging and other
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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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metodutvecklingsprojekt med sikte på robusta, standardiserade och kvalitetssäkrade arbetsflöden. Arbetet omfattar hela kedjan från projektplanering och experimentell design till praktiskt laboratoriearbete
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organ-on-chip platforms, custom microscopy, cell culture, 3D printing and hardware design, and biophysical modeling. We do not expect applicants to arrive with expertise in all of these. What matters