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in Python/R and fit them on the datasets in the cluster computers. This is part-time position, 16 hours/week. Job Duties Learns to formulate machine learning problems. Learns to implement machine
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modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are eager to learn and expand your knowledge! Basic knowledge of analog and
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, Easybuild) Competence in a high-level programming language (e.g. Python, Golang) and demonstrable experience in at least one relevant technology (e.g. HPC, Cloud computing, storage hardware configuration
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are particularly keen to hear from those with expertise in one or more of the following sub-disciplines: - Computer Programming (C++, C#, python); - Cybersecurity; - Artificial Intelligence, Machine Learning and
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or reference tracks. Produces export-ready notation files in standard formats compatible with research analysis pipelines (.xlsx, MIDI, or Python and MATLAB-readable data formats). Organizes and maintains a
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, analytical, and data-management skills. Experience working with large or complex datasets. Experience with statistical programming or data-analysis software, such as R, Python, or similar tools. Experience
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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Brightway, openLCA o SimaPro; Python u otros lenguajes orientados al análisis y automatización de datos (por ejemplo, R, MATLAB). Experiencia en manejo y procesamiento de grandes volúmenes de datos
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-quality research and experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via
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or programming knowledge such as Python, Bash, or PowerShell is advantageous. Experience with servers, GPU systems, workstations, virtualization, cloud platforms, scientific computing, or AI/ML research