50 programming-"Multiple"-"U"-"O.P"-"FEMTO-ST-institute"-"The-Health-Foundation" "UCL" Fellowship positions at University of Birmingham
Sort by
Refine Your Search
-
analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work independently, manage multiple tasks, and communicate findings clearly is
-
the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
-
partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
-
of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. In our previous study (https://warwick.ac.uk/fac/soc/cidd/covid19
-
project by: Collecting, analysing and critically interpretating data sets from multiple techniques to characterise granular zeolite ion-exchange materials. Designing and developing new in situ synchrotron
-
requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
-
contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a highly motivated Research
-
-beam spectrometers Extensive programming experience in C++ and/or Python High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
-
: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
-
of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly