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legislation. Procedure Reference: IT137-25-329 I - Legal admission requirements I.I - Grant Recipients: Masters in Mechanical Engineering, enrolled in the PhD Program in Mechanical Engineering. Knowledge in
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or ideological convictions and trade union membership. International environment and experience: Diversity is a fundamental aspect of the essence of GIMM, where researchers and non-researchers of different
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, on the date of their hiring, prove their enrollment in one of the following courses: - PhD in Chemical and Biologic Engineering; - Non-academic degree course. Requirement for granting the fellowship
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, on the date of their hiring, prove their enrollment in one of the following courses: - PhD in Chemical and Biologic Engineering; - Non-academic degree course. Requirement for granting the fellowship
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detection in microservice environments. • Document the findings and provide practical guidance for future research and application. By the end of this research grant, the research fellow is expected to have
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, ethnic origin or race, place of origin, language, religion, political or ideological convictions and trade union membership. International environment and experience: Diversity is a fundamental aspect of
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valued. Applicants should demonstrate strong ability to work in multidisciplinary environments and possess excellent spoken and written English skills. 3. Work plan: The main objective of the SWMOF project
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. Instructional design and development of simulation scripts. Technical development of the simulations in a virtual reality environment. User testing, feedback collection, and iterative improvements. Technical
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3 Sep 2025 Job Information Organisation/Company Instituto Politécnico de Viseu Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Country Portugal Application Deadline 17 Sep 2025 - 00:00 (Europe/Lisbon) Type of...
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implement computer vision algorithms in a hospital environment to support the management of gastric cancer. More specifically, we intend to evolve algorithms that detect and quantify the presence