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                state-of-the-art magnetic resonance imaging (MRI) in parallel to behavioural assessment and histology. The overall goal of the project is to investigate the impact of radiotherapy in brain development 
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                computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore highly desired Excellent communication skills and fluency in English Offer The VIB-UAntwerp 
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                , enthusiastic, and creative individual to join our team. The candidate should have a strong interest in biostatistics and genetics. Essential: Master’s Degree in biochemistry, biomedical sciences, bioinformatics 
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                immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore 
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                disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics 
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                bioinformatic analyses Experience in mouse work is highly desirable Interest in macrophage biology and neurodegenerative disorders Your teaching competences are in line with the University of Antwerp’s 
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                -motivation, flexibility and team spirit. Experience with techniques such as cell culture, CAM model, qRT-PCR, fluorescence microscopy and/or bioinformatics would be a plus. Your teaching competences are in 
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                block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having 
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                many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new 
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                The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof