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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
: The research fellowship(s) will have the duration of 6 months. It’s expected to begin on 1 May 2026, and may be renewed. It is mandatory to formalize applications with the submission of the following documents
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
have the duration of 6 months. It’s expected to begin on 1 August 2026, and may be renewed. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form
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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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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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applicants are invited for an interview. The supervisory team nominates a preferred applicant and informs CSIRO's iPhD office. The nominated applicant will be instructed to formally apply to QUT
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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