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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
. Position Summary A Postdoctoral position is currently open in the Dayton Lab within the Lampe Joint Biomedical Engineering Dept. This research position will lead research in advanced ultrasound imaging
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/supporting statement, CV and the details of two referees as part of your online application. see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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is expected that the postdoc in this position will seek funding (e.g., an NIH NRSA award) for continuing the position after the first year. Applicants must have completed the PhD by the date
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) Positions PhD Positions Application Deadline 20 Mar 2026 - 18:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Apr 2026 Is the job
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher
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Description Riga Technical University (RTU) invites applications for a Tenured Professor position in Electrical Engineering, Electronic Engineering, Information Engineering with specilization in Data Processing
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for