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baccalaureate nursing students preferred. Certifications/Licenses Certification in clinical area Preferred Current licensure or eligibility for RN licensure in New Jersey. Required Knowledge, Skills, and
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Advanced
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position within a Research Infrastructure? No Offer Description Description of the workplace The position is located at the Division of Industrial Electrical Engineering and Automation , IEA, LTH, Lund
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a fault location and detection on the electrical and communication networks (including
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of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a fault location and detection on the electrical and communication networks (including
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Project summary: How does exposure to electricity price risk shape the way investors value European companies? Using textual analysis and financial econometrics, this PhD will construct new
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking to hire a research fellow (postdoc) to undertake a project to develop efficient AI and Machine
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Differential Imaging (CDI) to exploit the fundamental property of light coherence. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using
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and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background