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, computer vision or machine learning or Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets. Familiarity with biomaterials, tissue engineering, scaffolds
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will be expected to carry out wet-lab 3D genomics experiments and analyze data in the context
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, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine
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100% 3-year PhD fellowship in chromatin and computational biology is available in the project group of Dr. Julia Madsen-Østerbye, research group of Prof. Philippe Collas, at the Division of Biochemistry
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English written and oral communication skills. Experience with 3D chromatin conformation capture methods (practical and/or computational) is a plus. Experience with electronic laboratory notebook systems is
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of achieving Norwegian skills at at least this level. Main responsibilities Develop machine learning architectures that interpret 3D point cloud data incrementally, for real-time use, building an understanding
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-graduate, hands-on laboratory experience. Documented experience with advanced human cell culture, including 3D models and organ-on-chip systems. Hands-on experience with pluripotent stem cell culture
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embed user-defined conditions and structural constraints directly into machine learning routines to achieve high-resolution 3D interpolation of rock mass properties. These synthesized geotechnical fields