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qualitative and quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing
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genomics is also essential, as is experience in scripting and/or programming using languages such as Bash, C, C++, or Python. What we offer Appointment as Research Fellow is dependent upon having been
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language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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of physics/maths and biology is essential. Coding competency (in C, Python, Matlab or similar language) is essential. Applicants should demonstrate a publication record appropriate to their level of experience
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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skills (R, Unix or Python) to develop research programmes in this area, and familiarity with experimental NGS sequencing approaches. Please ensure you read the Job Description and Person Specification
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you