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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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institution that seeks to foster the development of skilled manpower and natural resources in Morocco and Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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Engineering, and related fields, with a view to develop and optimize 3D bioprinted models, cell selection and expansion for bone models, biological and mechanical characterization of bioprinted tissues
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. • Familiarity with MODFLOW, MATPOWER, OpenDSS, Machine Learning based emulators, or agent-based modeling. • Knowledge of scenario development, resilience frameworks, and socio-environmental-technological systems
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parameter space, and using and/or developing agent-based models for the movement and behavior of fish in rivers. Presenting material at conferences, writing research papers for publication, and/or assisting
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approaches, including advanced live cell imaging and in vitro motility assays. The position is based in Michael Way’s laboratory at the Francis Crick Institute. Click here to read more about the Way lab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle the world’s most pressing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
, designing natural language interfaces for more intuitive navigation of the BDC environment, creating BDC-specific foundation models, and enabling large language models (LLM) and machine learning-based