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management and publication platforms; e) Basic understanding of network analysis; f) Knowledge of Angolan history. Additional Information Benefits Applicable legislation and regulations: Law no. 40/2004, of 18
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people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE During your internship you will work on a projectin the Functional neuroimaging group (https://fnimg.iit.it/it
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acquired the renowned EQUIS accreditation and benefits from an extensive national and international network, both in academia and in the business world. For more information, please consult: http
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related to social network analysis. For the project information and job inquiries, please contact the Principal Investigator: Dr. Zhou Jiajia at email: jiajia_zhou@hkbu.edu.hk . The initial appointment will
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of strategies to reduce mobile network energy consumption, with a strong focus on the RAN and clear service-quality constraints • Leveraging Network Digital Twinning and what-if analysis frameworks
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, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent
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research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five
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recent introductions of exotic species into France via migratory birds highlight the risk of pathogen emergence and the restructuring of infectious networks. This PhD project aims to characterize
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 6 days ago
from a unique experimental design, combining controlled climate experiments (ECOTRON), for which phenotypic and transcriptomic data are already available, with a network of multi-site experimental
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations