103 computer-engineering-"https:"-"https:"-"https:"-"UCL" positions at Imperial College London
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undergraduate, Masters and/or PhD students. You are further expected to publish findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
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will work within a highly interdisciplinary and international environment, collaborating closely with experts in research software engineering, technological innovation, environmental policy, and
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are highlighted below: - Cultivated meat: examples include a research program on cell line development, cell engineering, process optimisation, media optimisation, product development and downstream processing, and
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The Research Assistant will join an international interdisciplinary team funded through the British Heart Foundation Programme Grant (My Heart Counts). The role focuses on developing and maintaining
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, or even computational architectures. What we are looking for: Research Associate: hold a PhD (or equivalent) in Aerospace Engineering or a closely related discipline. Research Assistant: A first/masters
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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harness the convergence of AI with other frontier technologies — including quantum computing, engineering biology and advanced materials science. You will play a defining role in positioning Imperial
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; and other duties, such as publishing papers and supervising other researchers. You will work closely with another 2 PhD students with computational skillsets, a post-doc with microfluidics expertise
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and