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Field
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, Cell Biology, Biochemistry Physics, (Electrical) Engineering, Statistics, Computer Science or a related field. Description: This is a full-time postdoctoral fellow position in a neurobiology laboratory
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are invited for the 2026 Research Fellowship awards. Up to four Research Fellowships will be awarded in this competition. Applicants should have submitted their PhD after 1 October 2024, or be on track
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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the boundaries of 6G technology. Your primary responsibility will be to spearhead research initiatives aimed at developing the domain of Edge Computing for 6G Networks. Holding a PhD (or have submitted your thesis
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, and translational grant proposals. Engage with industry and clinical partners to shape the roadmap for productization and deployment. Preferred Qualifications PhD in Electrical Engineering
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at Harvard. For further information, please contact ydu@seas.harvard.edu. Basic Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering or a closely related field Additional
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
will contribute to the design program through broad expertise in contemporary design research and practice. The position is based in Canberra but involves travel to partner locations, a current
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
oppdatert 08.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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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