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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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the mechanisms through which specific proteins regulate early transcription termination. For example, the lab is interested in ZC3H4 (part of ‘Restrictor’), which you can read about in our recent publication
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supervising studies that involve in vitro assays and in vivo mouse tumor models to understand mechanisms of immunotherapy resistance, exploration of pathways involved in signal transduction in different T cell
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biology, and vaccine science. The Blasi laboratory has two main areas of research: 1) understanding the mechanisms and implications of viral infections in the kidney, including HIV and SARS-CoV-2 and 2
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multimodal brain imaging techniques with novel neuromodulation. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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courses, mentoring, career support and conference opportunities. Qualification: The candidate must have at least an equivalent of a UK MEng 2.1 class degree in materials/mechanical/ manufacturing/chemistry
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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class degree in materials/mechanical/ manufacturing/chemistry or any related discipline with at least 70 % in the project element. This is an experimental research project based at the University