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Grade E.89 Posting Detail Information Position Summary The University at Buffalo School of Management’s Center for Supply Chain Analytics seeks a Postdoctoral Associate to join our team and develop a
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particularly welcome candidates who enjoy discovery-driven research, are comfortable developing experimental approaches, and are motivated by projects in which the most interesting results may emerge from
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Laboratory. The project aims to develop an energy-aware modelling and system identification framework that incorporates computational efficiency into the model development process. Rather than focusing solely
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development of measurement, evaluation, and analytic strategies to inform policy and systems transformation – 45% Develop conceptual frameworks, logic models, measurement plans, and analytic strategies, drawing
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics
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Entitled: “Covalent organic frameworks exhibiting thermally activated delayed fluorescence” Leader Dr inż. Jakub Ostapko The objective of this project is to develop and investigate a new class of self
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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geoinformatics and spatial data science, including demonstrated knowledge of GIS, spatial analysis, spatial modelling, and GeoAI. Experience and expertise in WebGIS development, familiar with the core technologies
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR