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lecturer, you are responsible for groups of students, with whom you run recurring ‘clinic’ sessions in which the students present their work and receive feedback from you and from peers. Running parallel
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clearly, and are motivated to analyse complex spectroscopic data and connect these results to molecular processes. Strong initiative and passion for science Open to collaborate with students (BSc/MSc), PhDs
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simulation and multiscale modelling methodology to obtain novel and improved understanding of the behaviour of (bio)materials, and of complex (bio)chemical and physical processes that are of technological and
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spectroscopic data and connect these results to molecular processes. Strong initiative and passion for science Open to collaborate with students (BSc/MSc), PhDs and PDs involved in related project and research
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proteomics and/or immunopeptodomics in clinical or translational research settings; Demonstrated expertise in: Data-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics
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at TU Delft, supervised by Prof. Kofi Makinwa and Dr. Padmakumar R. Rao. You will collaborate closely with the parallel metaoptics PhD researcher, SRON and the other INTERPRETER partners. Job
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students gain access to UM-wide programmes instead of a parallel, smaller version of them; to draw on CEI's expertise in entrepreneurship pedagogy, venture coaching and valorisation when designing your
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in the meninges of murine models of activated PI3Kδ syndrome (APDS), an inborn error of immunity associated with immune and neurodevelopmental abnormalities. In parallel, you will lead the
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and from peers. Running parallel to this are plenary sessions on themes such as thesis topic choice, conceptualising the theoretical framework, methods, data analysis and interpretation, and presenting
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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision