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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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require additional information? Please contact: Efstratios Gavves, Associate Professor, e.gavves@uva.n Where to apply Website https://www.academictransfer.com/en/jobs/359154/postdoc-on-robot-world-models-u
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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Budget (DEB) model for sea scallops to produce seasonal forecasts of scallop growth and mortality. The postdoctoral researcher will also evaluate the predictive skill of oceanographic variables (e.g
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porous materials Develop novel machine learning model for predicting gas adsorption behavior Investigate molecular transport and separation mechanisms for membrane process Publish journal articles and
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher specialising in industrial decarbonisation modelling to support the EU-funded FLARE project. The role
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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Researcher to join an interdisciplinary project focused on improving early diagnosis and risk prediction in adolescents with early-onset psychosis, with particular emphasis on schizophrenia and bipolar