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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE observations of greenhouse and ozone-depleting gases using models, measurements, and inverse
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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staff and the adults with learning disabilities that they support. The post requires experience of conducting recruitment and data collection in large studies and previous experience of working with
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About the role Working on a UK–Brazil project, you will advance next‑generation optical (flash & high‑power LED) and inductive thermography to assure the reliability of large composite wind‑turbine
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6 Sep 2025 Job Information Organisation/Company CNRS Department Institut des géosciences de l'environnement Research Field Physics Researcher Profile Recognised Researcher (R2) Country France
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, experiments, and macroecological analyses using so far untapped global monitoring data across all populated continents. Your position The successful candidate will focus on macroecological analyses of non
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles
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opportunities For more information see the LEAD AI webpage or send an email to leadai@uib.no Qualifications and personal qualities: Applicants must hold a Norwegian PhD or an equivalent degree in meteorology