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focused on the intersection of Machine Learning and Optimization Proven expertise in surrogate modelling, specifically in designing neural architectures for emulating constrained optimization problems
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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Remote sensing data understanding Software development of few-shot learning models And will allow you to develop competences in Software management (e.g., Git use) Types of data in remote sensing Use
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models Use of PyTorch and/or HuggingFace ESSENTIAL REQUIREMENTS To be registered as a student in an undergraduate master’s degree programme in Computer engineering, Computer Science or a cognate
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testing and optimisation of various decarbonisation scenarios. For more information please visit the TransiT website https://transit.ac.uk/. We are seeking a proposal for a project contributing to Digital
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-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
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modelling, sophisticated machine learning approaches etc.) and research profiles that build on current strengths of the School , faculty, and university. The University of Surrey is a top-20 UK university
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in
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--- The Sooner's Advanced Manufacturing Laboratory's Machining and Integration Specialist will support the fabrication and integration of components using additive and traditional manufacturing equipment
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 18-Mar-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences