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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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disciplines relevant to the position include: Mechanical Engineering Operations Management Supply Chain Management Candidates are expected to teach and supervise students at all levels, including PhD students
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academic quality. Promote improvement and innovation of the TFM model, incorporating trends such as educational AI, learning analytics, digital assessment, and hybrid learning. Where to apply E-mail
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; and (e) social theory, and the Chinese mainland and global social development. Please visit the website at http://www.polyu.edu.hk/apss/ for more information about the Department. Duties The appointee
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: https://www.jobbnorge.no/en/available-jobs/job/294558/phd-research-fellow-in-deep-learning-for-imaging-of-marine-ecosystems Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294558/phd
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on experimental data which you acquire. You publish the research results in scientific journals and present at international conferences You contribute to the supervision of master and PhD students At least 70% of
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: Marine Biodiversity and ecosystem functioning across spatial, temporal, and human scales”. The overall aim of the project is to acquire knowledge of the principles governing the structure, dynamics
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like to know more about working at TU/e? Please visit our career page . Website for additional job details https://www.academictransfer.com/359550/ Work Location(s) Number of offers available1Company
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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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Researcher (R2) Positions PhD Positions Application Deadline 29 Apr 2026 - 15:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026