60 machine-learning-and-image-processing-"RMIT-University" positions at VIB in Belgium
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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handling, cell culture, imaging, and histology; knowledge of rodent perfusion, injections and dissection is a plus. Possesses basic knowledge in at least one of the following fields: molecular and
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visual information is processed in the brain to guide perception and behavior. Their multidisciplinary team combines in vivo physiology, circuit tracing, imaging, and behavior. The Vanderhaeghen Lab, led
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2023 as the 10th VIB center, with the core mission to study fundamental problems in biology by combining machine learning with in-depth knowledge of biological processes. We aim to work towards
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imaging, single-cell RNA sequencing, and spatial transcriptomics. Responsibilities This position is ideal for someone who wants to gain hands-on experience in both research and lab management. You’ll be
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-savvy modelers, computer scientists and AI experts at VIB. Key Responsibilities Provide expert scientific and strategic guidance to early discovery programs across VIB, supporting small molecule
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paradigm shift in which we consider the liver as a repeated structure of integrated liver modules and hypothesize that the key to successful liver regeneration is to maintain the integrity of each individual
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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analysis Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within an experimental team, with direct availability of experimental