28 phd-computer-artificial-machine-human Postdoctoral positions at University of Lund
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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learning/artificial intelligence. The group has extensive experience in fundamental research in computer vision, machine learning, and artificial intelligence, as well as a history of translating such
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predators such as seals and cormorants. One possible measure to support cod recovery, particularly the survival of large reproductively important individuals, is the use of artificial reefs. These structures
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-assembly mechanisms, identifying robust experimental signatures of collective properties, exploring practical applications, and utilizing artificial intelligence and machine learning to aid in this process
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at the interface using computer simulations. At the beginning simulations will be used to model polymeric particles, such as microgels. With these simulations we will study how the individual particle
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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(PhD students, post-docs, researchers and teachers) and is located at the BMC-building (Biomedical Center). The expertise includes computational and experimental mechanics of biological tissues, where a
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Injection Systems (CIS) — natural protein machines used by bacteria to deliver molecular cargo. The group's mission is to understand the structure, function, and application of CIS for use in both
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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specializes in the production of ossicles/bone tissue that recapitulate the structure and function of skeletal bone and bone marrow. In the long term, the group aims to compile human-specific knowledge on how