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contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and
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Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials for electrochemical energy applications, with particular emphasis on polymer
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designing/programming experiments, recruiting/running participants, developing and using computational modeling approaches (Bayesian, RL, neural networks) to analyze behavioral and neuroimaging data
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for advanced energy storage applications. This position is part of a multidisciplinary program focused on the design, synthesis, processing, and characterization of organic-inorganic hybrid materials capable
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impact journal articles. Programming and Computing Skills: Ability to read, understand, explore and manipulate scientific data files (e.g., netCDF). Strong programming skills in a tool that allows
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 10 hours ago
with researchers, principal investigators (PIs), and a lab manager on government- and corporate-sponsored programs in mammalian synthetic biology, including neuromorphic synthetic biology. Projects
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) project with The University of Oxford, the RSPB, and JNCC, funded by The Offshore Wind Evidence and Change programme (OWEC). How to apply You will be asked to submit a CV along with a Supporting Statement
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, 3D simulation, preferably in orthopaedic- or medical-related projects. At least 3 years' experience in research coordination. Strong programming and data analysis skills with high implementation
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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI
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thermoplastic feedstocks for FDM printing Programming of an existing hybrid FDM printing machine, including printing and milling devices Modelling and optimization of the debinding process Simulation-based design