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of complex dairy farm systems using Python. This role focuses on translating real-time farm data—including new energy monitoring feeds—into farm-specific 'what-if' scenarios. The goal is to provide farmers and
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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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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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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and