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demonstrated ability to apply and combine methodologies across MATLAB, Python, and/or R. Highly motivated and enthusiastic researcher with a strong and documented interdisciplinary interest in mental health
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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. Technical skills Proficiency in computational design tools (e.g., Grasshopper, Rhino, Python). Familiarity with immersive environments (Unity, Unreal Engine). Experience with AI-driven visualization workflows
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coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university of Oxford your happiness and wellbeing at work is
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(python, C++, bash scripting…) for the modelling of molecular crystals. To work closely with other experimentalists in the consortium and support experiments through computations. To help develop and build
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thermal analyses, XRD and solid-state NMR. To develop and implement coding tools (python, C++, bash scripting…) for the automation of MoSS characterisation To work closely with other experimentalists in
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental research in the field of ultracold molecules is highly desirable, especially