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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (aerospace engineering, electronics or related fields) You have proven experience in
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. Job requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (aerospace engineering
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experience in diagnostic assay development, next generation sequencing and bioinformatics pipeline development. A DVM or PhD is required for this position. This position will require attention to detail
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substantial freedom to shape the scientific direction of the research within this focus, in close collaboration with an interdisciplinary team of scientists. Job requirements PhD degree in Earth sciences
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European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging solutions to accelerate the energy transition to climate-neutral cities. The research
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and groundwater, drainage, climate variability and uncertainty in local hydrogeology. The central output will be spatial potentiality maps that shows where subsurface freshwater storage is promising and
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interactions learnable and predictable. At the centre of the project is ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops), a crop microbiome foundation model trained
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
process representations for next-generation Earth System Models and future CMIP simulations. Your Profile A PhD degree in environmental-, climate- or geosciences or a related field (applications of
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data