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conditions, and administrative and technical support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with
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models (e.g. agent-based, network-based, or hybrid) to study the dynamics of complex AI-driven systems; Conducting simulations and scenario analyses to explore non-linear effects, feedback loops, and phase
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the ambition of developing innovative platforms incorporating therapeutic agents (e.g., nucleic acids, small molecules, peptides), involving mRNA for gene therapy. In the context of this project, the group
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degree in informatics. Work plan: 1- Review of the literature on cooperative air transport and multi-agent control; select drone platforms and tools. 2- Evaluate and simulate sensor configurations for pose
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Letter Resume/Curriculum Vitae Copy of High School Diploma OR Unofficial Transcripts (Must show all coursework completed and the conferral date of the degree) To apply, visit https://www.schooljobs.com
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studies ( https://www.uantwerpen.be/en/about-uantwerp/faculties/faculty-medicine-health-sciences/activities/news/flaim-study/). The PhD project will explore systemic and mucosal immune mechanisms in
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, T., Le Cozannet, G. and Merad, M. (2023) Adapter le système assurantiel Français face à l’évolution des risques climatiques. https://www.ecologie.gouv.fr/sites/default/files/Rapport_final_Mission
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experience in presenting scientific work. Preference for candidates with experience in: -Complex networks and systems modelling and simulation. -Discrete dynamical systems (cellular automata, agent-based, etc
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
evaluating temporal changes in A. longifolia populations and for assessing the impact of biological control agents. The work will comprise the application of remote-sensing and geospatial analysis
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and