97 web-programmer-developer-"https:"-"https:"-"https:" positions at Imperial College London
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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
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industry stakeholders, and is developing initiatives such as accelerators, training programmes, and industry-facing platforms to accelerate adoption of sustainable protein solutions. You will play a critical
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bottlenecks and challenges around stakeholder acceptance. The successful applicant will develop novel power system planning models that explicitly incorporate supply chain constraints and stakeholder
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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interdisciplinary environment embedded in the UK Dementia Research Institute at Imperial College London. You will contribute to data access workflows, database and pipeline development, and cross-modal harmonisation
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The Department of Bioengineering at Imperial College is one of the leading bioengineering departments worldwide with an extensive offering of undergraduate, masters and research degree programmes
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researchers to develop research and technologies through collaboration, licensing and spinout formation. Come and join the Commercialisation team and play a key role in helping Imperial’s researchers develop
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The Department of Bioengineering at Imperial College is one of the leading bioengineering departments worldwide with an extensive offering of undergraduate, masters and research degree programmes
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well as supporting student-led groups to plan budgets effectively. The role sits within the Directorate of Membership Services and the post will have a cross-departmental focus to ensure our training package
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing