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. Previous experience in atomic physics/modelling is desirable, as well as knowledge of IDL/Python/FORTRAN/C++ programming. Further information about the Astrophysics Group can be found at http
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knowledge of experience with python and modern machine learning architectures (e.g. VAEs, transformers) and libraries (e.g., numpy, pytorch or tensorflow or JAX frameworks). A4 Knowledge of mathematical
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well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 3 years. The closing date for applications is noon
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; proven competence in programming methods like Python; evidence of working well as part of a multidisciplinary research team. Informal enquiries may be addressed to Professor Tingting Zhu (email
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language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
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High-level analytical capability Ability to communicate complex information clearly Experience in COMSOL Multiphysics, Coventorware, Matlab and Python and Autodesk Fusion360 Experience of working with
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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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
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responsibilities will include: Develop Automated Workflows: Utilise Python scripting (or equivalent) to automate job preparation, submission, analysis, and visualisation for high-throughput quantum chemistry
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to demonstrate excellent coding skills in R and/or Python and the ability to write code in R and/or Python in such a way that data analysis can be streamlined. Experience of contributing to research publications