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of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems
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and techniques (e.g. isotopic and spectroscopic techniques) that would allow him/her to track and determine the origin, the fate and speciation of elements from the parent material and underground water
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developing robust and implementable monitoring, reporting, and verification (MRV) systems to allow us to track the impact of agricultural practices on organic carbon sequestration in the soils and emissions
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, VASP, Quantum Espresso… Excellent communication skills (oral and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a
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written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary team. Experience in co-supervision and coordination of graduate
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observation, and deep-space astrophysics. Key qualifications: PhD in Physics, Electrical Engineering, or related field Proven experience in cryogenic detectors and low-noise electronics Track record in space
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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metalloids in soil-plant systems. The ideal candidate will have a demonstrated track record in environmental soil chemistry, biogeochemistry, or related disciplines, with an emphasis on synchrotron-based
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, with a proven track record of publications in peer-reviewed journals Experience teaching undergraduate or graduate courses in metallurgy, materials science, or related fields (teaching assistant