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Field
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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radiation. PMOD is traditionally widely involved in all communities focused on chemistry-climate modelling, monitoring of ozone and atmospheric radiation, and solar physics. (https://www.pmodwrc.ch/ ) Task
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the Schools of Chemistry, Earth & Environment, and Physics & Astronomy, covering a very broad range of activities. It also houses the UK National Centre for Atmospheric Science directorate. The School
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 3 days ago
of atmospheric science, physics, or similar Solid knowledge of Environment and Society (pollution and climate; sustainable development and nature protection), Earth System Science (atmospheric modelling; general
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of the re-entering vehicle. Multiscale simulations of the downstream expansion behaviour of the residuals for different atmospheric layers. Definition of suitable interfaces to process data for the climate
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected Results: Ability to assess the influence of demise process on the release of emissions
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to the multi-physics and multiscale problem. Experiments have so far never been attempted and are challenging to be realized, because of the atmospheric environment to be experimentally simulated. The diagnostic
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(https://op.europa.eu/s/z831 ). Selection process For the selection procedure, the SLICE consortium will appoint a Recruitment Committee (RC) for each position. The selection will be carried out in two
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning