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skills within universities, colleges and research organisations. Further information is available at: https://iuk-ktp.org.uk/ . THE PROJECT The University of Essex, in partnership with Active Software
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines
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the Coastal Marine Applied Research (CMAR) consultancy https://www.plymouth.ac.uk/research/cmar within the Coastal Processes Research Group (CPRG). The group specialise in collecting coastal field data in
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spectroscopy Should have working knowledge of optics, electronics, 3D experimental design (e.g., CAD) and coding languages (e.g., Python) Should be willing to train users of spectroscopic and experimental
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, or related fields. Strong programming skills in Python. 0–3 years of relevant experience. Experience building data processing pipelines (ingestion, cleaning, transformation, feature extraction, evaluation
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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: Will accept 48 months related experience in lieu of the Bachelor's degree for a total of 72 months experience Skills: Extensive computer programming/analysis experience in python, Matlab, R, or other
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Programme (PEPR) Forest Resilience (FORESTT – https://www.pepr-forestt.org/ ), funded by the French Plan d'Investissement d'Avenir (PIA) France 2030. FORESTT aims to support the transition of forest socio
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observatories both in space and on the ground. IRSA (http://irsa.ipac.caltech.edu) is the steward of scientific data sets, ancillary data products, and documentation delivered by NASA's Infrared and Sub