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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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of the CEFE in community ecology and species distribution models with that of IMAG in probability, statistical learning, and model validation. This project falls within the scope of statistical artificial
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- Experience in modelling aquatic systems - Fieldwork experience - Ability to interact with non-scientific stakeholders Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5175-AXEGAY
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307570/phd-candidate-in-advanced-immune-competent-liver-models Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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based on Artificial Intelligence, Machine Learning and Data Science for the modelling, analysis and interpretation of complex biomedical systems. Research activities will include the design and validation
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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Engineering (DTU Construct), Technical University of Denmark (DTU), you will help advance the state of the art in multiphysics modelling through a unique international research collaboration involving DTU
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at https://biffilab.wordpress.com Pancreatic ductal adenocarcinoma (PDAC) remains a formidable clinical challenge. A major recent advance has been the development of KRAS inhibitors, which have shown
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for advanced statistical and time-series analyses. They will analyse behavioral, EEG and eye-tracking data collected during prolonged experimental sessions. The research will focus on the modelling and