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Field
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models
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development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should
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experience for example with python, fortran, C++ or others. Experience in modeling spectroscopic observables. Experience in quantum and semi-classical dynamics As a founding signatory of the Athena SWAN
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. Preferred Knowledge, Skills, and Abilities: Experience of method development in quantum chemistry. Demonstrable coding experience for example with python, fortran, C++ or others. Experience in modeling
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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programming languages including C, C++, C#, Python. A4 knowledge of the theory and practice of structure elucidation by single crystal X-Ray diffraction, and other techniques for materials characterisation. A5
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python