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setups, including the development of software required to gather and analyse data (using e.g., .Net, Python, LabView); Experience in the operation of common clean room tools used in the nanofabrication
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scientific programming, preferably in Python, for processing, analyzing, and visualizing experimental data; 6) Experience in curating, harmonizing, and managing experimental databases; 7) Experience in
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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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programme Reference Number AE2025-0555 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0555
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on the simulation of the nonlinear behaviour of structural systems; Have proven experience in software development in C, C++, C# or Python programming languages; Be fluent in written and spoken English. APPLICATION
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assessed according to the following weights and criteria: - Quality of the Curriculum - Proven knowledge of imaging data analysis software (20%); proven programming skills: Matlab, Unix, Python (20
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on https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 Workplace: The work will developed at IDMEC - Institute of Mechanical Engineering, being both the Host and Contracting Entity, and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) academic degree certificate; iv) motivation letter; v) declaration on honour that the applicant
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Law nr. 40/2004, of August 18, as worded by Decree-Law nr. 123/2019, of August 28; IDMEC Regulation for Research Studentships and Fellowships, available on https://www.idmec.tecnico.ulisboa.pt
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
cancer. Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions and requires registration and