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- Faculty of Sciences of the University of Porto
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: The University of Trás-os-Montes and Alto Douro (UTAD) open a call for one (1) Research Grant for Electrical and Computer Engineering PhD students in the frame of the R&D project AI4Work- Human-Centric Digital
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applications for one (1) research grant (Master’s Degree), enrolled in a PhD or in a course not conferring an academic degree, within the framework of project VIIAFOOD with the reference Agenda Mobilizadora
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(if applicable); Photocopy of Portuguese IBAN/NIB; proof of enrolment in PhD in Physical Engineering or proof of non-degree course; Proof document or statement duly signed by the institution's highest body
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for Science and Technology (FCT) through National Funds, under the following conditions: Scientific Area: Physics/Engineering Physics Admission requirements: To have a Master’s degree; To be enrolled in PhD
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(IITAA), Ref. UID/00153/2025, approved by the Foundation for Science and Technology, I.P.. Scope of the Activity: This doctoral project aims to study the population of Solen marginatus, a non-indigenous
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, No. 950/2019, of 16-12-2019, of FCT I.P.. At the time of the respective hiring, candidates must prove that they are enrolled in one of the following courses: PhD in the field of Civil Engineering, or
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Chemistry, Biochemistry, Food Technology and Science, or related fields; To be enrolled in PhD Chemistry or related fields or courses that do not confer academic degree. Although the recipients must be
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23 Dec 2025 Job Information Organisation/Company Instituto Politécnico de Bragança Department Gabinete de Apoio a Projetos Research Field Engineering » Industrial engineering Researcher Profile
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necessary conditions to enroll in the cycle of studies leading to the degree of Doctor in Computer Engineering. If the required academic degree has been conferred by a foreign higher education institution
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 1 month ago
# Completed university studies (Master/Diploma) in the field of Chemical/Metallurgical/(Mineral) Process Engineering, Data Science, Statistics, Machine Learning or related field # Good knowledge of mineral