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techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more information, please contact Asst Prof Shao, Huiling ([email protected] ). We regret to inform that only shortlisted candidates will be
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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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background.* Strong programming skills using languages such as Python, R, Java, C/C++ or Perl.* Hands-on experience analysing next-generation sequencing, single-cell RNA-seq and ATAC-seq data.* Experience
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. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and
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accretion modelling codes (in C++, with a Python interface) that are being integrated into the open-source Gammapy framework for use across the CTAO community and beyond; and increasingly building on other
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for independent research. Desirable Knowledge of optics and communications. Knowledge of quantum optics and quantum communications. Familiarity with programming (such as MATLAB, Python, etc.). How to apply If you
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or a related field; strong academic results and foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only
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User Interface (GUI) and Python API Create the communication layer between our in-house CFD and mesh generation software Develop unit and regressions tests Maintain Github repository and Continuous
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to equity, diversity, and inclusion Preferred Qualifications Experience with NLP libraries and toolkits (e.g., Hugging Face, spaCy, NLTK). - Strong programming skills (Python preferred), with experience in ML
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to the project and analysis of results (e.g., Ansys fluid, COMSOL Multiphysics). • Use of MATLAB, C++ and Python. • Contact with suppliers and manufacturers of parts of implantable devices. • Search and analysis