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sensor systems or mobile/web apps Document experiments, model architectures, training procedures, and results Minimum Qualifications Full Employment Eligibility Requirements can be found here: https
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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
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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 and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with 3D data formats, graphics, and geometry processing. Preferred Qualifications Hands-on experience
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attributes include: Skills and experience of development using languages such as Python and C++ with relevant computer vision, signal processing, machine learning and/or deep learning tools (TensorFlow
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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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Computing (HPC) environments, using relevant coding languages (e.g. Bash, R, python, snakemake etc.); publishing research articles in peer-reviewed journals; experience in international research collaboration
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) will contribute to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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? Not funded by a EU programme Reference Number AE2025-0571 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt