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statistical knowledge and expertise in statistical analysis (including multivariate analysis and data management) as well experience in relevant software packages, e.g., SPSS/STATA and R, you will have
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, perinatal mental health, child health). High degree of competence in standard medical statistics and in using statistical software packages (e.g. R, Stata or Python). Experience working with large-scale
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: Relevant domain knowledge relating to cardiac electrophysiology Excellence in Python software development for scientific computing A strong knowledge and experience of database software including SQL Prior
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—and machine learning to work within established research programmes. A strong, demonstrable experience in research software development using Python programming language and modern machine learning
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for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications, open-source software development, and training materials. This position is full-time and fixed-term
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project Develop software for the analysis of simulation data Contribute to further developments
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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