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physiology and biochemistry. - We will value positively any knowledge or previous experience in laboratory analyses for the quantification of plant metabolites, plant phenotyping methods or biostatistics/data
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development of AI and avoiding its misuse. These issues might be exacerbated by the lack of formal guarantees in explaining the behavior of AI systems in terms of human-interpretable, high-level concepts. While
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to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento . Workplan and the objectives to achieve: This work aims to develop a numerical approach based on
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the Human Resources area at https://www.ua.pt/en/sgrh/pessoal-investigador-novos-concursos-e-ofertas . 2.4.3 — When formalizing the application, if a classified document is submitted that reveals a commercial
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general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities will include: Pursue research on finite element methods
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areas of demography from an international perspective and demonstrate excellence in formal demography and demographic methods. The Department of Demography (https://demografie.univie.ac.at
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related to staff position within a Research Infrastructure? No Offer Description The Neuro-Symbolic AI Group at the IDIAP Research Institute operates at the interface between neural and symbolic AI methods
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interested in behavioral aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally
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methods: The selection methods to be used will be the following: curriculum vitae assessment and experience in modifying natural compounds and experience in cell culture for the development of biomaterials
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 4 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project