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techniques (FTIR, NIR, Raman, …) with machine learning/ chemometrics. Responsibilities of the Position The Postdoctoral researcher is intended to support the soil spectroscopy research activities and digital
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creation, data collection and data analysis in their area of expertise and be willing to learn the design, data collection and data analysis in unfamiliar areas. The position involves travel to meetings with
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will hold a PhD (or close to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science
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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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agricultural sector is also necessary for the position. To succeed in the role, documented experience of conducting high-quality research is required. We are looking for someone who is analytical, organized, and
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within the Department of Engineering Science (based in Headington, Oxford). The post is funded by Podium Analytics and is initially fixed-term to 30 September 2027, with possible extension subject to
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landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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five years; Excellent analytical and writing skills; Capacity to work independently as well as in team environments. Preferred Qualifications: Strong record of scholarly research, including publications