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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
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must prove the recognition, equivalence or registration of the doctoral degree, under the terms of the applicable legislation. This formality must be completed by the signing date of the contract. 4.1
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candidate will be supervised by P.M. Congedo, E. Denimal Goy and Olivier Le Maître, experts in uncertainty quantification methods. The work will be conducted in the Platon team, a joint research group between
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, psychological safety, and performance. Using diverse (quantitative) methods, we will study both the mechanisms and boundary conditions of these effects. The result is a new understanding of leadership information
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their Ph.D abroad must have it formally recognized in Portugal, including conversion of the final grade into the Portuguese grading scale, in accordance with Decree-Law no. 66/2018, of 16 August. 2.2
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science related discipline. Demonstrated competence in applied quantitative methods, including regression analysis, evidenced through formal coursework, a quantitative dissertation or project, or equivalent
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influences both activity and selectivity. The Project: This PhD project will integrate experimental and computational methods to evaluate the strength, selectivity, and underlying origins of chalcogen bonding
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
to begin in April/2026, and may be eventually renewed up to the maximum of 24 months, including the duration of the initial contract. It is mandatory to formalize applications with the submission
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, nonlinear dynamical systems, robotics, and formal methods to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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methods, which make it possible to identify the optimal configuration of a process among a large number of alternatives. The project is funded by the ANR and brings together four complementary partners