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. You will be part of an active research programme in the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering under the supervision of Dr Francesco Restuccia . Our group
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: At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch
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that benefit fitness in the opposite sex. You will receive outstanding interdisciplinary training in computational biology, experimental genetics, and molecular biology. The supervisory team offers expertise
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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Structural Biology, Immunology, Cell Biology, Neuroscience and Synthetic Biology www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/. PhD students at the LMB are affiliated with
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and programmable biomaterial synthesis. The ability to program the behaviour of biomolecular chemistry is foundational for developing new biotechnology applications. Redox-sensitive molecules are a
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the above ‘Apply’ button. Under Campus, please select ‘Loughborough’ and select the Programme “Mechanical and Manufacturing Engineering”. Applications must include a CENTA studentship allocation form , a
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degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently
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/MSci or higher degree (or international equivalent) in: Engineering, Materials Science, or a closely related discipline. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a
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honours degree (or equivalent) in a relevant discipline such as biology, ecology, microbiology, plant sciences, bioinformatics, or data science. The project is particularly suitable for students with