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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch
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sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as database
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quantitative research methods. A familiarity with at least one statistical software package or programming language such as R, SPSS, Stata, SAS, or Python Working knowledge of AI systems and the technical and
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listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines Strong programming skills, Python
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computing (C++, Python) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods of experimental particle physics and ability
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programming skills in at least one of the following (Python, MATLAB, Julia). Please ensure you read the Job Description and Person Specification for full details of this role, by clicking the 'Apply' button
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We are looking for a researcher, whose expertise lies in Discontinuous Galerkin discretisations, compressible flows, Fortran, Python, to work with Luis Espath & Prof Paul Houston jointly with Space
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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers
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We are looking for a researcher, whose expertise lies in Discontinuous Galerkin discretisations, compressible flows, Fortran, Python, to work with Luis Espath & Prof Paul Houston jointly with Space