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-world court data on racial composition of juries and videos of jury selection, databases of real 911 calls, psychophysiological data during large-group decision making) on topics that could include (but
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. Applicants selected for assessment will be informed about the composition of the Assessment Committee and later about the outcome of the assessment. Once the recruitment process is completed, all applicants
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
-doctoral fellowship from IST-ID. Selection process Selection methods: The selection methods will be the following: a) Academic training: b) Publications in Building Information Model - 4 points, Publications
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will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is
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Twin and AI integration for hydraulic modelling, real-time data analysis for advanced leak detection and system optimisation, reducing energy costs, decreasing water losses and improving operational
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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membrane lipid composition that appear essential for efficient viral replication and for maintaining a tumor-permissive state. This project aims to characterize this cancer-associated virus, define its
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technologies for batteries. Your tasks in detail: Develop innovative quantum computing approaches for the simulation of electrochemical processes in complex electrode materials Connect quantum-enabled models