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. Proficiency in at least two programming languages used in research (e.g., Python, C++, R). Experience managing or contributing to complex technical projects. Excellent communication skills and the ability
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, civil engineering, mobility management, or related disciplines. Good knowledge of software development, especially in data analysis in Python (e.g., Pandas, NumPy), visualisation (e.g., Matplotlib, Plotly
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of projects could also be included. Work can include, but is not limited to, development of pipelines in Nextflow or Snakemake, scripting in Python and/or R, and running large-scale analyses efficiently in HPC
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MD degree witha strong background in data science Strong programming skills in Python Proficiency in one or more data science platforms such as TensorFlow, PyTorch, MONAI, and scikit-learn Experience
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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to theory (20%) A review of relevant literature and theory on ice sheet resonances will be performed. Relevant theory will be coded in MATLAB (preferred) or Python (acceptable). Comparisons between theory
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, and report progress weekly to the principal investigator. Proficiency with Unix bash shell scripting, Python, and the Windows Subsystem for Linux is essential, along with strong attention to detail and
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the way in which investment management decisions are made, the successful candidate will need exposure to software such as Python. In addition, to avail ourselves of the many synergies that exist between
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evaluation strategies for large amounts of data (such as programming languages Python and/or R) are required to fulfill the tasks. The employment level of 40 hours/week includes an average teaching obligation
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Recognised as a leading authority in specialist full stack Python software development, both within and outside the University. Enable academic endeavours by delivering high-level professional