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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 24 days ago
individual-based models, called Branching Resource allocation Processes (BRP), that will enable investigation of the variability of growth phenotypes in a proliferating microbial population in terms
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). The PDRA EEO Carbon Allocation Modelling will work on the LEMONTREE (Land Ecosystem Models based On New Theory, observations and Experiments) project and will be part of a team of scientists developing
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Full time, Fixed Term (up to 20 months) Closing date: 23:59 30 September 2025 Interview date: 10 October 2026 (with the expectation that the appointment will start as soon as possible thereafter). The ideal candidate will have: A PhD in environmental science or closely related discipline by the...
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in grapevine and pecan seedlings. 25% Conduct plant physiological measurements (photosynthesis, water relations, oxidative stress, biomass allocation, root anatomy). 15% Evaluate the efficacy
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week Duration of employment: 1st of January 2026, limited to 30th of June 2029 Allocation in compliance with the Collective Agreement for University Staff to job group: B1 lit. b Gross monthly salary
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highly desirable that the candidate has prior research experience in one or more of the following research topics: Resource allocation for wireless networks Radio resource management and mobility
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environment and impact with the QR funding allocated for the Faculty of Arts, Business and Social Sciences (FABSS). The plan is to support 0.6fte post-doctoral research fellowships (24 months each, UW9 posts
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environment and impact with the QR funding allocated for the Faculty of Arts, Business and Social Sciences (FABSS). The plan is to support 0.6fte post-doctoral research fellowships (24 months each, UW9 posts
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metasurfaces for ensuring uninterrupted communication in obstacle-riddled environments, and ML-based design of medium access, resource allocation and network management techniques. In terms of metasurface design
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metasurfaces for ensuring uninterrupted communication in obstacle-riddled environments, and ML-based design of medium access, resource allocation and network management techniques. In terms of metasurface design