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have: A strong background in soft matter physics or related fields Experience with experimental methods such as robotic and/or synthetic active matter Proficiency in scientific programming (e.g. Python
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activity data, alongside competence in quantitative data analysis using software such as R or Python, is essential. Excellent organisational and communication skills, with the ability to work both
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of delivering interventions for behavioural change. Strong training in experimental and quantitative methods, including experience with SPSS, STATA, R or Python, an understanding of multivariate statistics and
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. Practical experience with large-scale real-world time-series data. Experience with clinical or biological datasets. Practical experience with Python and SQL. Knowledge of wearable, molecular and health data
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administrative needs of the Faculty. Based around a core technology stack of Python, PhP, Django, GitLab and SharePoint, often overlaying database technologies such as MySQL and Postgres. The team uses Jira
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programming language (Python or R) is essential. A sound knowledge of soil microbiology and/or plant genomics, and an interest in sustainable agriculture, would be advantageous. About Us As a specialist
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Experience with large-scale data work and data integration Programming skills in Python, R, Stata, and SQL Interest in pharmaceutical innovation, patents, and the science of science Experience with machine
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. - Experience with clinical or biological datasets. - Practical experience with Python and SQL. - Knowledge of wearable, molecular and health data. - Knowledge of research methods and statistical procedures
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a PhD in Physical Sciences or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key
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practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication