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Field
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible: No Job requisition ID : 29301 Apply now
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and identification of pathology specific biological targets for treatment options. Finally, we will integrate our engine exhaust exposure models as an exemplar IPF driver to understand mechanisms
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the EU Research Framework Programme? Horizon Europe - ERC Reference Number 951723 Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference: Fellow_BI/MOBILIsE
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21 Aug 2025 Job Information Organisation/Company Tohoku University Department Research Institute of Electrical Communication Research Field Physics Engineering Chemistry Technology Geosciences
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your current or most recent degree program that meets the disciplinary qualifications of the opportunity. Click here for detailed information about acceptable transcripts . One recommendation. We
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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Details Title Postdoctoral Fellow in Geometric Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A