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affiliated PhD and undergraduate students gain access to and work with the Cebu data. The Postdoc will have opportunities to lead analysis and write up of original research articles, along with co-authorship
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arising from geometric principles cannot be replicated simply by scaling up data or computational resources. The PhD project will address both the mathematical foundations and the practical implementation
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: - PhD in Physics/Photonics/Nanoscience or related field. - Experience in nanophotonics/plasmonics, optical spectroscopy, and data analysis. - Familiar with micro/nanofabrication (DLW preferred) and
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in computational analysis of omic data-ability to perform statistics, data integration and bioinformatics Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD within six months of the appointment commencement) and
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Posting Details Position Information Posting Number SRGV8919 Working Title POSTDOCTORAL FELLOW Number of Vacancies 2 Location Edinburg, Texas Department College of Sciences / Mathematical and
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: $72,000 – $77,500 Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines . Create a Job Match for
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(s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or equivalent professional qualifications