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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
static conditions, followed by an evaluation of their gas permeation properties in a controlled setup. Design of membrane housings and fabrication using 3D printing techniques to construct functional
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work teams. Financial component - According to the Table, contained in Annex I to the FCT Scholarship Regulation, approved by Regulation No. 950/2019, published in the Diário da República, 2nd series
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of Lisbon (Ciências ULisboa), a call is open for the attribution of 1 (one) research grant for a PhD student, financed by FCUL according to the following conditions: Work plan: Sampling of plant community
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(Statutes of Scientific Research Fellow) and Regulation of Research Grants of University of Porto. Work place: The work will be carried out in the Department of Electrical and Computer Engineering of
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regulations: Law Nº. 40/2004, of August 18, in its current wording (Statute of Scientific Research Scholarship holders) and Regulation of Scholarships of the University of Porto, in force. Work place: The work
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are carried out in one of the Research Units headquartered in the CECA member institutions (studentships "in the country"), which will be the host institution of the grantee, without prejudice to the work being
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), for candidates of any nationality, under operation ALGARVE-FSE+-01177600 related to the application submitted to Notice ALGARVE-2024-8, funded by the Algarve 2030 Regional Program and co funded by the European
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or related areas), for candidates of any nationality, under operation ALGARVE-FSE+-01177600 related to the application submitted to Notice ALGARVE-2024-8, funded by the Algarve 2030 Regional Program and co
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this call may apply for this grant, a requirement to be duly proven at the time of hiring. Work plan: Research activities in the field of reinforcement learning for unmanned aerial vehicles. Applicable
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to the following conditions: Work plan: The successful candidate will contribute to developing a context-aware machine learning-based predictive framework to be used in the context of applications to automate