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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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, machine learning techniques may be integrated to accelerate simulations and improve medical image processing, ultimately aiding in stroke diagnosis and treatment planning. Please note that this is a self
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
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is an important control on hydrology. The latter will determine water supply, food security and sanitation to human communities. The paradigm is that wet regions become wetter and dry regions become
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Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international
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, image processing, inverse problems, partial differential equations, etc. It is not expected that the candidate should be an expert in all these areas, but should have the enthusiasm and ability to absorb
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can have a background from experimental and theoretical quantum opto- or electromechanics, nanomechanics, NV magnetometry and imaging, and low-temperature techniques. We are looking for individuals
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Behaviour; Culture, Psychology and Law; Psychology and Legal Processes; and Rehabilitation, Reintegration and Offender Management. About you To be successful in the role, you will have: Bachelor degree