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Field
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the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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of assays to characterise ATMPs, including potency, identity, purity, sterility (ELISA, qPCR, flow cytometry, HPLC-based analytics) Process development and technology transfer to GMP Development, optimisation
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disciplines: computer science/engineering or biomedical engineering. You have an excellent academic record of accomplishment. In particular, you have a good command of, and a strong interest in, computer
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junction permeability and the consequences for the antiviral host response. Job profile You hold a Master’s degree (preferably) in Bio-engineering, Biotechnology, Biomedical Sciences or other relevant fields
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data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and
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college or university in neurosciences, psychology, biomedical engineering, or other related fields. Ideal candidates will have one to three (1-3) years of relevant experience in cognitive systems and/ or
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of the research is to obtain a doctoral degree Job profile Master's degree in (bio)medical sciences, biomedical engineering or related discipline Experience and/or strong interest in preclinical research