23 postdoctoral-in-electrical-engineering PhD positions at University of Cambridge in Uk
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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The Open Bioeconomy Lab, headed by Dr Jenny Molloy (openbioeconomy.org), is seeking a Research Associate for "EngZyme: Engineered Enzymatic Catalysts for In-flow CO2 Upcycling", an EPSRC Prosperity
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engineered mouse models for the depletion of different CAF populations, in vitro three-dimensional pancreatic tumour organoid/fibroblast co-culture models, CRISPR-based technologies, bulk and single-cell RNA
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Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology
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Gregory Hamm (AstraZeneca). Project details The tumour immunity cycle involves cyclical trafficking of T cell subsets between the tumour and lymphoid organs. While current immunotherapy has focused on re
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
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well as academically new. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) in Engineering or Physical Sciences. Applicants should be able
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project team involving many local and external collaborators. They will be a member of the vibrant and highly research-active Language Technology Lab (http://ltl.mml.cam.ac.uk ) and the larger community
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading