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adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques
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performance. Experimental Validation: Conduct laboratory testing of fabricated PICs connected with off-the-shelf components to validate the proposed concepts. Team-based Collaboration: Work closely with experts
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university. The University of Antwerp offers an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We
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are highly motivated and can plan and conduct research accurately. • You can function well independently as well as in a team. • You can take initiative and have a hands-on mentality, perseverance and
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platform. Initially, a black box deep learning approach will be implemented. However, due to the need for robustness, transparency, and explainability (e.g. for quality control across sectors), the research
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implementing signal processing algorithms specifically tailored to analyze signals that contain interfering impulsive content, often encountered in data coming from main and pitch bearings. Machine learning
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the immune response to mpox in both animal models and in vitro systems. We are looking for a motivated PhD student to help advance this line of research. As a PhD student, you will: Design and conduct
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply
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offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most
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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