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) Positions PhD Positions Application Deadline 17 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research
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: (1) Minor in Environmental and Scientific Literacy; (2) MPhil in Environmental Science; (3) PhD in Environmental Science and (4) Master of Science in Sustainability and Environmental Analytics. Apart
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the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication
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the foundations for this. The ideal candidate should hold a PhD in a relevant specialist subject or is about to submit, or should have equivalent experience. A background in machine learning applied in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
University, University of Queensland, and University 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
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research position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant
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€ The application period is from 22 April to 6 May 2026 Where to apply Website https://t.ly/neW0Z Requirements Research FieldSociologyEducation LevelPhD or equivalent Skills/Qualifications PhD in Sociology
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learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
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environment. The full job description is available, here: https://drive.google.com/file/d/14vuatOC6NKg9w4j91r_Zb6KF8lTxUoe5/view?usp=sharing Job Requirements REQUIRED: A PhD in neuroscience, computer
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project). Job Requirements • A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree