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Field
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be requested at a later date. This position is offered full time on a fixed term until 31 October 2026 and it is funded by COI Core Funding and the National Institute for Health Research (OPTIMAL Study
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evaluate the strengths and limitations of eDNA versus acoustic monitoring (and other approaches), identifying optimal applications for each context. Best‑practice development: Co‑design guidelines and
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and enabling the rational design and optimization of highefficiency plasma reactors.This PhD project aims to bridge this knowledge gap by developing and experimentally validating acomplex multiphysics
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characterization techniques Troubleshoot and optimize reaction conditions Synthesize, purify and characterize bi-functional molecules Implement new but established protocols without individual training Troubleshoot
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and the National Institute for Health Research (OPTIMAL Study). Only applications received before 12 midday on 4 September 2025 will be considered. Please quote 181670 on all correspondence.
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the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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variety of conditions that are not optimal growth conditions. The survival data of pathogens under these conditions (growth matrices + sub-optimal growth temperatures + antimicrobial stresses) will also be
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to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
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optimization of community PV systems, e-mobility, and edge data center integration at the Swiss pilot site hosted at Empa’s NEST demonstrator. The role involves coordinating the deployment and validation