155 postdoc-in-postdoc-in-automation-and-control Fellowship positions in United Kingdom
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online application. Only applications submitted online and received before noon |Tuesday 5th August 2025 can be considered. Please note that you will receive an automated email from our online recruitment
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based in London at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding
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and innovation. Experience working with robotic systems, automation, or advanced manufacturing technologies. A collaborative mindset with a commitment to interdisciplinary research. A PhD (or working
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Project: Novel GM interventions for mosquito control could represent a step change in progressing towards elimination of the world’s most harmful vector-borne diseases, including malaria and dengue. However
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addition to this, there are discretionary “Wellbeing Days”. Membership of the Pension Scheme is available. The post is based in The Gambia at LSHTM. Applications should be made online via our jobs website. The automated system will accept
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jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk
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addition to this, there are discretionary “Wellbeing Days”. Membership of the Pension Scheme is available. The post is based in The Gambia at LSHTM. Applications should be made online via our jobs website. The automated system will accept
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applications. This role will contribute to the project by: Refining the flow battery design for manufacture and installation in Nepal Developing the control system/BMS for integration with a wider energy
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at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes, with
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drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and operationalise of remote sensing processing chains and their deployment in cloud using the latest