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to the date of submission of the application to the scholarship and, in terms of its execution, the fact that it can only be renewed for a maximum period of 3 years. Work plan: Analysis of project documentation
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its results; 6) Actively participate with the UTAD team in preparing contributions to deliverables and other deliverables planned for the project. Applicable legislation and regulations: Law N.º 40/2004
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) they allow to execute the work plan mentioned above; b. Detailed Curriculum Vitae; c. Copies of degree certificates. It is mandatory to be holder of a PhD degree by the ending of the tender (note: candidates
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 8 hours ago
of the initial contract. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/concursos/bolsas/ ); ii) Curriculum Vitae
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its current wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179 Regulations for Research Grants of the Foundation for Science and Technology in force https
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electronic sensors, fitting it to physiochemical models to understand NP and surface interactions, and perform optimisations for sensing purposes; Perform sample preparation and isolation of NPs; Design and
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12, in its current wording and other applicable legislation and regulations. The monthly payment corresponds to 2351,53€. 1 — Admission requirements: Any national, foreign, and stateless candidate(s
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the legal provisions of the Labour Code, Law no.7/2009, February 12, in its current wording and other applicable legislation and regulations. The monthly payment corresponds to 2.351,53€. 1 — Admission
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to deliver the required documents within the 90-day period after the date of the notice of the conditional awarding of the grant implies its cancellation. Application period: From 2025-09-18 to 2025-10-01
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the impact on the predictive quality of a given model that is expected by retraining/fine-tuning it using additional datasets, as well as on predicting the expected cost/latency of such retraining/fine-tuning