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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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that directly impact patients’ lives. By advancing proof-of-concept studies from cellular and animal models through human trials, RITMS ensures that promising discoveries are rapidly translated into clinical
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educator and role model to dental assistants as well as partner and bridge for dentists and patient care. Experience in sedation procedures and/or ACLS certification is desired, but not required. Prepares
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emulators, or agent-based modeling. Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems. Experience with visualization tools (e.g., dashboards, GIS, spatio
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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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documentation (reports and specification notes).; - Develop simulation models (e.g., agent-based/spatial) of animal movement and pasture dynamics, calibrated from real data.; - Integrate ML forecasts (meteorology
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, KY The Extension Agent for Family and Consumer Sciences will develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families
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of the energy sector, aligned with the principles of Industry 4.0 and the RAMI4.0 reference model, through a collaborative and interoperable solution based on Multi-agent Systems and Asset Administration Shells
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer