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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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responsibilities will include: Develop Automated Workflows: Utilise Python scripting (or equivalent) to automate job preparation, submission, analysis, and visualisation for high-throughput quantum chemistry
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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
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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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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
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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to completion) in Computational Materials Chemistry or a related discipline Experience in Defect Chemistry Analysis Experience in Python Programming Expertise in Electronic structure analysis of solids Expertise