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Field
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environments, as well as reliable distributed signal processing and AI. Departmental duties may be offered. Entry requirements To be admitted to third-cycle studies, the applicant must meet both the general and
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of Systems and Synthetic Biology, Wageningen University(The Netherlands). Informal enquiries can be made to Pablo Carbonell pablo.carbonell@csic.es . Where to apply Website https://lifehub.csic.es/synbio
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of Graphene Derivatives. b) Duration of the contract: The contract is indefinite, but its duration is estimated in two months to complete some tasks. The distribution of tasks is as follows: • Stage 1 (1 months
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
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English. For more info, visit https://www.uni-potsdam.de/en/career-service Support for international students and doctoral candidates Welcome event Buddy programme Tutors Visa matters General services and
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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educational research, psychometric instrument development, and scientific publication. Where to apply Website https://administracion.ulpgc.es/info.1 Requirements Research FieldEducational sciences
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, % OM, C/N ratio, particle size distribution), chemical composition (lipid and humic fractions), and biological activity through the identification of biomarkers. sample soils after (i) a controlled fire
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for distributing bigraphical world models using Conflict-free Replicated Data Types (Bigraph-CRDT) and to extend these methods for the general distribution of DT data, ensuring high availability and resilience
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within