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Field
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education Level and research experience The candidates must have: Master degree in Physics or Physics Engineering, Demonstrated experience in inverse design of metasurfaces and optical characterization
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: Maria de Fátima Grilo da Costa Montemor (ist23859) Co-advisor(s): Maria Teresa Oliveira de Moura e Silva (ist174708), Instituto Superior de Engenharia de Lisboa. Organic Unit: Scientific Area of Process
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 24 days ago
are for the following areas of investigation: Numerical analysis of helical piles under lateral loading – involving the investigation of the behaviour of helical piles through the back-analysis of physical tests
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
of physical tests of conventional and modified helical piles under horizontal loading using advanced numerical analysis. Comparing different pile configurations and to developing recommendations on their range
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degree recognition, if applicable. - Enrollment in a PhD program. Selection process The applications must include the following documents: Application form available on the internet page
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tasks: - Support in reviewing the scientific and technical literature; - Support in research on the formulation and preparation process of Do-It-Yourself medicated gummies, including pre-formulation
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: undergraduate course average. 9.3 – Reasons for Candidate Exclusion: Candidates may be excluded from the selection process for the following reasons: a) Failure to meet the requirements specified in the call for
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Luciana Paiva das Neves Advertisement of final decision: The results of the evaluation will be released to the candidates by email to the email address indicated in the application process. Deadline
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9 Jan 2026 Job Information Organisation/Company Faculty of Sciences of the University of Porto Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions Master
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks