106 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" 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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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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, University of Arizona, and the University of Michigan. The programme aims to build a noninvasive technology for precisely delivering distinct drugs to targeted brain regions with exceptional spatial and
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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