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Field
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, or address deep, long-lasting impacts. In a world facing proliferating conflicts, the Leverhulme Centre for Research on Slavery in War (LCRSW) is the first overarching and integrative academic initiative
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software. Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch). Funding and eligibility The project is fully funded by DSTL, due to funding requirement this studentship is only available
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
immunology with deep focus on T cells and Treg biology Hands-on experience with in vivo mouse models (FELASA certification is a strong plus) Practical experience in flow cytometry (FACS), including protocol
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analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics simulation software. Familiarity with deep learning platforms (e.g. TensorFlow
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the mechanobiology of native and engineered tissues, with a current focus on cardiovascular applications, using integrated computational and experimental methods. The group focuses on developing a deep understanding
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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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research platform. We’ve stripped away the boundaries of what you can access and touch internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and
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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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research environment A self-motivated, proactive, and self-driven working attitude Curiosity-driven self-learning ability Written and oral communication skills in Dutch Keep in mind that this describes
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diagnostics and individualized treatment strategies by uncovering molecular mechanisms that drive bleeding severity. As a PhD student, you will contribute to our consortium by performing deep phenotyping based