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Field
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students and working effectively in a team-based research environment Proficiency in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more
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health, behavioural, or social science datasets. Proficiency in Python and/or R, and familiarity with open access AI/ML libraries. Track record (or strong potential) of peer-reviewed publications
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libraries (e.g. Python, TensorFlow/PyTorch, Scikit-learn) Demonstrated experience in applying machine learning or data-driven methods to physical systems, preferably in the context of fusion research Proven
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meteorological datasets. Good programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability
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Python, ML frameworks such as TensorFlow or PyTorch, statistical analysis, and strong IT skills are essential. You will thrive under tight deadlines, handling sensitive data with confidentiality, and have
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work both independently and in teams, and a track record of publications
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demonstrated proficiency in programming, specifically in Python and R, as well as experience with modern deep learning frameworks like PyTorch or TensorFlow. In addition to technical skills, the candidate must
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–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python
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. Ability to undertake complex analyses and data modelling using programming languages such as Python, R and/or hydrological modelling packages, with adherence to FAIR data principles (Findable, Accessible