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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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of antimicrobial resistance (AMR) through an Integrative One Health Surveillance for Antimicrobial Resistance (IOSAR) - Tracking AMR from farm to community. This project aims to develop an innovative approach
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. This ambitious project seeks to use large, data-driven integrated analyses to map the opportunities and threats of food system transitions for climate and societal resilience. The work is supported by the British
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commitment to research excellence, medicines governance, and improving access to healthcare. The successful candidate will play a critical role in evaluating the stability and integrity of aseptically prepared
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), generating and integrating multi-omic datasets to define how SkM contributes to ALS onset and progression. The position will require travel to University of Copenhagen to work closely with Dr. Julien Ochala, a
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experimental work, across biophysical (MANT-ATP) and functional genomic assays (methylome, transcriptome and proteome), generating and integrating multi-omic datasets to define how SkM contributes to ALS onset
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functional genomic assays (methylome, transcriptome and proteome), generating and integrating multi-omic datasets to define how SkM contributes to ALS onset and progression. The position will require travel
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the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to to work in an interdisciplinary way, understanding and integrating the work
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substantial experience with real robot deployments and vision system integration. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial and ground), and boasts
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sustainable resources, mining and refining, the circular economy and multi-disciplinary research. The ideal candidate has a PhD in a relevant related topic connected to sustainability, modelling and integrated