66 parallel-processing-bioinformatics Fellowship positions at University of Nottingham
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, single cells technologies including 10x Genomics platforms and otthers. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role
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the project. We are particularly seeking applicants with expertise in molecular and cellular biology, proteomics, bioinformatics, or a closely related field. Candidates should hold (or be close to completion
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science, and data-driven optimisation. You will accelerate the transition from batch to continuous flow processes. You will interact with project partners in the pharmaceutical sector to demonstrate
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apply a continuous photochemical reactor to help transform how medicines are manufactured. [see for example APPLIED SPECTROSCOPY (2022) 76, 38-50; ORGANIC PROCESS RESEARCH & DEVELOPMENT (2025) 29, 34-47
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applicant must demonstrate experience in: Developing creative and rigorous solutions to meet complex technical objectives Designing and applying novel approaches for evaluating process technologies, including
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have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits
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are the first university to have achieved Athena Swan Gold Award . To help you succeed, we published Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit
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energy system . Your focus will be to explore (computationally) the most promising processes to form hydrocarbon blends from hydrogen and CO2. You will develop models of those processes and use them
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smouldering combustion to drive a carbon-negative waste treatment process – through integration with materials destined for carbon mineralisation. The successful candidate will design and execute the necessary
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience