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-based modelling). Flexibility to travel and engage fully in academic and non-academic secondments abroad Specific Requirements As per the specific eligibility criteria of Marie Sklodowska-Curie Actions
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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duties include data collection, data analysis, agent based modelling of social epistemic networks, and the writing of research articles that form part of the fellowship program. The teaching duties involve
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of reinforcement learning and popular modern reinforcement learning algorithms. Students will develop familiarity with both model-based and model-free reinforcement learning algorithms, including Q-learning, Actor
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IACUC tasks Review IACUC protocols (new submissions, renewals, amendments) across a broad range of animal models and research paradigms and provide recommendations to maintain compliance, enhance animal
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theory. Proficiency in Python for rapid prototyping, data analysis, and potentially using libraries for network science (NetworkX) or agent-based modelling. Flexibility to travel and engage fully in
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Sciences Department beginning August 2026. This will be a full-time, on-site role, based in Keene, NH. We seek faculty who can create an inclusive, student-centered learning environment, integrate real-world
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the characterization of biological activities of novel anticancer compounds, including metal complexes and/or metal-binding agents, in two- and three-dimensional in-vitro models. Strong expertise and state-of-the-art
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the preparation of proposals and reports. Assist in teaching classes. 35% of Time the Postdoctoral Research Fellow may: ● Develop the computational pipeline for an agent-based model of PES landscape mosaic
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relying on up-to-date research, the program strives to help growers produce high quality vegetables while minimizing pesticide inputs. The program also develops real-time GIS-based predictive models of pest