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that the estimation and control algorithms comply with automotive standards and are compatible with automotive protocols. They will lead EMB test bench development and provide the necessary training to the PhD student
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This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and
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the process window for this technique across several materials and to assess the extent to which the patented material properties are realised. To identify the optimal processing conditions, a range of forging
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Overview Why are brains the way they are? Do neural circuits function in an “optimal” way, and if so, in what sense are they optimal? How does the brain encode sensory information and form
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dynamic, postgraduate-only environment where radical ideas meet real-world impact. Its programmes span Architecture, Interior Design, Design Practice, City Design, Environmental Architecture and PhD
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dynamic, postgraduate-only environment where radical ideas meet real-world impact. Its programmes span Architecture, Interior Design, Design Practice, City Design, Environmental Architecture and PhD
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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interpret high-resolution single-particle cryo-EM data Operate the cryo-EM microscope Produce biomolecular complexes by molecular biology techniques Optimize sample production and purification, as
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and