595 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Fellowship positions in United Kingdom
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risk assessment and informing next-generation regulatory frameworks to better protect human health and the environment from toxic substances. Specifically, the post holder will develop, implement, and
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) for 39 months starting January 2026. Benefits include pension contributions (USS), generous leave, a supportive research environment, and staff development opportunities. Informal enquiries:j.moss
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quantitatively evaluate sustainability aspects of vaccine development and contribute to developing best practice for environmental footpr inting of biotechnology processes. In addition, the post holder will use
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and inequalities. We aim to transform the lives of communities through pioneering research in the following areas: Social economy Economics of health and wellbeing Community development, citizenship and
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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The responsibilities will include: Develop research objectives and proposals for further BioFlare research, with assistance of a mentor if required Contribute to writing bids for research funding Complete analysis and
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% super Develop automated workflows & collaborate with industry partner Apply now to join our dynamic research group and contribute to the development of high-throughput quantum chemistry workflows
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The Warwick Centre for Experimental Fuel Technology (CEFT) is aiming to develop innovative next generation battery and fuel cell technologies. A key feature of the Centre’s work is that novel & applied
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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models