83 parallel-processing-bioinformatics-"Multiple" positions at UNIVERSITY OF SOUTHAMPTON
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The University of Southampton is seeking to make the appointment to the role of Senior CAFM Manager. The University of Southampton is a leading research-intensive University, a founding member of the prestigious Russell Group, and one of the top 100 universities worldwide. We deliver excellent...
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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multiple techniques. This will allow researchers to visualise and ‘manually weight’ different types of information from different sources globally and locally across a macromolecular structure, and pipe
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team, customer service skills across any industry could well be an advantage. The department uses multiple computer systems to deliver its services therefore experience using multiple systems is
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doing? As an Assistant Finance Manager, you’ll play a central role in ensuring financial processes are efficient, accurate, and compliant. Working closely with the Finance Manager and supporting the wider
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ageing processes, high voltage electrical testing, analytical and simulation techniques. Please provide your CV to support your application for this post. You will report to the sponsor at regular meetings
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network. This post is responsible for supporting the annual agent commission process, coordinating day-to-day operations for the Agent Team, maintaining accurate records, and ensuring timely and effective
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data