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Field
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staff position within a Research Infrastructure? No Offer Description You will conduct an academic research project and write a PhD thesis on career decision-making frictions, under supervision of Prof
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provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Helena Maria de Oliveira Freitas Effective Members
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focus on decision making and learning in challenging scenarios such as safely crossing a busy bike path or interacting with a passing vehicle. Specifically, you will investigate how modulated external
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do projeto “Modificação Sustentável de Embalagens Bioplásticas por Plasma Frio”, (ref. PlasmaPack), financiado pela Sociedade Ponto Verde. By decision of the Board of Directors, NOVA.id.FCT
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the website of the Institute and the selected candidate shall be notified by email. 22. Preliminary Hearing and Final Decision Deadline: After publication, all candidates have 10 working days to respond
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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
8 Jul 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Electrical
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genotyping and phenotyping for the selection of organisms “climate-ready”, stress-resilient, and producing sustainably. Where to apply Website https://pica.cineca.it/unina/ Requirements Additional Information
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ARDITI - Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação | Portugal | 2 months ago
or the conclusion of the activities that constitute the object of this selection procedure will determine the expiry of the contract, which will take effect with the communication referred to in paragraph 1
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coupling, damage evolution, and anisotropic material behaviour. These developments will result in a virtual digital framework capable of providing predictive indicators, virtual testing, and decision-support