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-efficient Brain-inspired Computing with Ionic Devices”/ University of Minho, ref. 2024.12826.MIT, financed by national funds through Foundation for Science and Technology (FCT, IP), under the following
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-efficient Brain-inspired Computing with Ionic Devices” / University of Minho, ref. 2024.12826.MIT, financed by national funds through Foundation for Science and Technology (FCT, IP), under the following
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the Innovation and Digital Transition Programme (COMPETE 2030) under the following conditions: Scientific Area: Chemistry, Physics, and Materials Engineering Recipient category: Candidates with a master's in Micro
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by submitting personal, academic, and professional information, provided they cumulatively meet the following conditions: • PhD in Biological Sciences or related areas; • Relevant scientific and/or
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Development Projects in All Scientific Domains – IC&DT2023 program, under the following conditions: Scientific Area: Mechanical and Industrial Engineering Recipient category: Students enrolled in, Degree
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(PhD) in Biological Sciences or related areas; • Relevant scientific and/or professional experience in the area of Biological Sciences; • Relevant curriculum vitae in the scientific area(s) indicated
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Area: Mechanical Engineering Recipient category: Students enrolled in: Degree courses: Research grants (BI) are intended for I&D activities by students enrolled in a PhD programme. Non-conferring degrees
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24 Oct 2025 Job Information Organisation/Company Universidade do Minho Research Field Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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7 Nov 2025 Job Information Organisation/Company Universidade do Minho Research Field Engineering » Civil engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country