92 parallel-processing-bioinformatics positions at University of Bristol in United Kingdom
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complex issues, and delivering both immediate fixes and long-term enhancements. You will contribute to innovation, infrastructure design, procurement processes, and knowledge sharing, helping advance
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building or office maintenance issues and process building access requests. Assist with data entry onto spreadsheets and into University systems producing defined documents or letters. Provide administrative
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the University’s property portfolio and will need to transport tools Are familiar with IT systems, including Computer Aided Facilities Management (CAFM) system / other general electronic/digital record keeping
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You’ll Do: Support AI teaching and research: You'll support students and staff through the full AI model development process, from data preparation to initial training. Some support using traditional
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Roman History and Culture. supervise and mark undergraduate dissertations. take an active part in administrative processes, including Open Days and Post-Offer Visitor Days. act as personal tutor. conduct
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be responsible for (1) the scientific design and operation of the FDRI Early Adopters programme and (2) providing scientific input on the design of the FDRI catchment monitoring through hydrological
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become familiar with a wide range of University processes for courier services, room bookings, student enquiries, catering, reporting maintenance issues, allocating visitor cards. You can expect to spend
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, maintenance, and repair. You have experience of designing, planning, leading, and performing X-ray and neutron scattering experiments at EU and UK facilities. You can work independently and collaboratively
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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI
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analyses to quantify brain composition in our sample sets. You will be responsible for managing the completion of this processes, combining it with genomic datasets to perform genome wide association studies