35 parallel-computing-numerical-methods Fellowship positions at University of Birmingham
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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. The successful candidate will contribute to a Gates Foundation funded project focused on developing and applying advanced spatial and spatio-temporal statistical methods to inform disease mapping and control
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and fairly The fluency in relevant models, techniques or methods and ability to contribute to developing new ones Fluency and experience with high performance and/or high throughput computing Expertise
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. Supervise students on research related work and provide guidance to PhD/MSc students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
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at strain/genomic level, Luminex cytokine analyses Undertake a combination of computational and experimental approaches to study microbiota and RNA signalling across a human time-course interventional study
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for publication, research seminars etc Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related
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outcomes Triangulate data from multiple sources (employees, managers, productivity measures, and KPIs) using multiple collection methods (surveys, interviews, observations) and quantitative and qualitative
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, current methods to measure these molecules are slow, offline and require disruptive sampling, limiting progress in cell therapy manufacturing and advanced bioprocessing. The aim of this project is to
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November 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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) and a Grade 8 Research Fellow (106267), however there is only 1 post available. Background We are seeking to appoint an autonomous and experienced qualitative/multi methods grade 7 research fellow to a