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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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quantum information processing or quantum computation, e.g.: Published at database, verification, or knowledge representation and reasoning venues comparable to PODS, CAV, KR, or CP or at venues like QPL
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, including the selection and application of scale-up modelling approaches (e.g. process simulation, expert interviews, and the integration of scale and learning effects) for the identified scenarios
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Ruffini-Ronzani (nicolas.ruffini@unamur.be ). Merci d'indiquer la référence du poste dans l'objet du mail. Selection process • Examen et sélection des candidatures par la Commission de recrutement et
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manufacturing and manufacturing process. Are you a postdoctoral researcher or a PhD candidate who is about to graduate and has a passion for metal additive manufacturing, machine vision, data acquisition
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policies, housing market regulations, public discourses, and the everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach
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programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset You have an excellent track record
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everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach, the project combines: Quantitative analysis of eviction court
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experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals. Your research qualities are in line with the faculty and university research policies . You
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines