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models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your job This position is embedded in a multi-institutional EU-funded project Intergenerational Open
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to this timeline. About the department The Department of Natural Resources uses Earth observation data and spatial information in combination with systems analysis to map, monitor, model, and handle natural
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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atoms or molecules prior to the reaction. By combining this with resonance-enhanced multiphoton ionisation and velocity map imaging, we can probe the reaction products in high detail. This powerful
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publications, your teaching experience and a link to your Google Scholar page; pdf’s or links to 3 key publications and your PhD thesis; A brief description of your research plan (max. 2 pages) A teaching
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migration), economy (e.g., trade, businesses and resource flows), technology (e.g., infrastructure mapping, urban plans/construction), as well as potential sources of risks and benefits, including pollution
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number and upload the following documents: A full CV including a list of publications, your teaching experience and a link to your Google Scholar page; pdf’s or links to 3 key publications and your PhD
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(e.g., salinity dynamics, fish migration), economy (e.g., trade, businesses and resource flows), technology (e.g., infrastructure mapping, urban plans/construction), as well as potential sources of risks
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for Computational Mathematics at the Flatiron Institute in New York, the Department of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. Your
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-THEORETICALPARTICLEPHYSICS [#30493] Position Title: Position Type: Postdoctoral Position Location: Nijmegen, 6525 HP, Netherlands (Kingdom of the) [map ] Subject Area: Mathematics, Statistics, and Computer Science Appl