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Field
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or visualisation tools, as well as statistical/modelling applications (e.g. Microsoft Fabric environment, Power BI, Tableau, Alteryx, Python, R or similar applications/software). Ability to work effectively in cross
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-of-the-art and novel data science and AI techniques emerging from research teams and elsewhere. A3. Breadth and/or depth of knowledge of programming languages (including Python, R, C++, Java, Julia, C
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industry-standard tools. We have a particular interest in expanding our capacity to support our students with C/C++ and Python programming alongside teams using tools like Containerisation (Docker/Kubernetes
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astrophysics Machine learning or data analysis for physical sciences Strong programming skills (e.g., C/C++/Fortran and Python) and familiarity with reproducible workflows/version control. Motivation to pursue
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field Possess a strong, proven track record in modern NMR techniques Desirable Criteria Have proven skills in computer programming, with experience in as many as possible of the following areas: Python
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/interview Demonstrable experience with optimization in numerical modelling. Essential Application / interview Demonstrable computer programming ability (in particular in Python), and to write code that others
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psychology, behavioural economics, or a closely related discipline, and bring strong expertise in experimental and quantitative methods, including proficiency in Python and Bayesian analytical approaches. A
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, computational physics or a closely related area. Strong written and oral communication skills, including the ability to contribute to publications, reports & presentations. Excellent programming skills in Python
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modelling and/or causal inference methods. ability to develop or adapt novel computational or statistical methods (beyond application of existing techniques). strong programming skills (e.g. Python and/or R
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or NLP - Python proficiency and PyTorch experience - Familiarity with language models, Transformers, or generative AI - Ability to conduct independent research - Interest in trustworthy, explainable