Full Time Temporary Electrical & Electronic Engineering Academic Posts jobs in Europe
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- Academic Posts, Electrical & Electronic Engineering, Temporary, Direct Employer, Europe 9
- Academic Posts, Engineering & Technology, Temporary, Direct Employer, Full Time, Europe 31
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Found 9 Direct Employer, Full Time jobs
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Phd Candidate in Demonstration of Safety and Reliability of Novel Control Technologies
The transition period into climate neutral zero emission energy production involves oil and gas production, as a supplementary energy ...
New
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PhD Candidate in Lithium Tantalate Integrated Photonics
The candidate aims are to design, manufacture, and study advanced photonic integrated waveguides ...
New
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Post-doctoral Research Fellow Lv 1, School of Electrical and Electronic Engineering
Post-doctoral Research Fellow Level 1, UCD School of Electrical and Electronic Engineering ...
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Post-doctoral Research Fellow Level 1, School of Electrical and Electronic Engineering
Applications are invited for a temporary post of a Post-doctoral Fellow Level 1 within UCD School of Electrical and ...
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Phd Candidate In Developing A Platform For Computational Battery Design
The primary focus of this position is the digitalization of Lithium-ion batteries through a comprehensive approach encompassing ...
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PhD in Dynamic Allocation of Distributed Resources in Short-term Reserve and Flexibility Markets
This PhD position is connected to the FME Norwegian Centre for Energy Transition Strategies (NTRANS), which is a multidisciplinary ...
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Phd Candidate In Modelling Of Physical Phenomena For Safety Analysis And Risk Assessment
As PhD Candidate, we want you to support the activities of an ongoing national research and innovation centre for hydrogen ...
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Postdoctoral Fellow in Hardware Security and Reverse Engineering in Embedded Systems
The position will be central to the NORCICS project, which aims to develop threat models for assessing hardware ...
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Ph.D. Candidate in Artificial Intelligence with Application to Geophysics
The Ph.D. candidate will research methods for optimization and explainable machine learning in the context of Earth science and geophysic.
