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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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                , Biomedical Sciences, Bioengineering, or related fields. Enthusiasm for fundamental science and attention to detail. Motivation to work with an international team of PhD students, postdocs and technicians 
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                . The candidate should have a strong interest in biostatistics and genetics. Essential: Master’s Degree in biochemistry, biomedical sciences, bioinformatics, (bio)statistics, bioengineering, computer science 
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                More info on the PhD project The TOBI lab (Translational Onco-genomics and Bio-Informatics) has an open position for a highly motivated biomedical researcher with expertise and interest in 
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                software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both 
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                fellowship. Please do check eligibility criteria prior to applying for this position. Profile Medical degree or MSc in biomedical sciences, medicine, bioengineering, or related field, with excellent study 
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                , and computational biology, the student will also contribute to the integration of experimental findings with spatial and systems-level analyses of inflammation along the gut–brain axis. Position 
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                the criteria of KU Leuven (more information available here ). Relevant experience (e.g., molecular biology, cellular physiology, neuroscience, animal behavior, computational methods, etc.) is a plus. Candidates 
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                genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at www.psb.ugent.be for more 
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                project to study tissue-resident macrophages in neurological disorders. This collaborative doctoral project is embedded within the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences