4,466 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" scholarships
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about this program visit: https://www.himolde.no/english/studies/programmes/phd-in-logistics/index.html. We offer The place of work is Molde, Norway. The appointment period is 3 years. The position will
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/InstituteUniversitat Politècnica de València / Electrochemical Engineering Research LabCountrySpainState/ProvinceValenciaCityValenciaPostal Code46022StreetCamí de VeraGeofield Contact City Valencia Website https
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technology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type
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16 Jan 2026 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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» Biomedical engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal
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Requirements • Master’s degree in Telecommunications Engineering, Electrical Engineering, Physics, or a related field • Must be admitted to a PhD program at Universidad Carlos III de Madrid by the time of
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master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in mixed-signal circuit design and simulation. Familiarity with IC design tools and tapeout flow and
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MSCA programme rules and is admitted as a doctoral student. Admission takes place at the doctoral programme in Textile Technology at the University of Borås. has a Master’s level (second-cycle) degree
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of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language