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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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the Spanish National Plan for Scientific and Technical Research (Plan Estatal, AEI/FEDER). The project will develop innovative methods for the integrative analysis of multimodal nutrition data, using ontologies
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understandable explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve
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to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV
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Department:Electrical-Computer Engineering Salary Salary:Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Postdoctoral Researcher in Metamaterial Coating Design The
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methods. This will involve using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out
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to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV
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to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures