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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in
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-term vision for a research program whose development would be supported by participation in the CBI Fellowship Program: How will you use the time and resources provided by your Fellowship to advance
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description: African Sustainable Agriculture Research Institute (ASARI
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Researcher (R3) Application Deadline 26 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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education and practical-based research with a vision of solving real African agriculture challenges by leveraging up-to-date science and technology. The AgroBiosciences Program Research Center leverages up
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) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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-term vision for a research program whose development would be supported by participation in the CBI Fellowship Program: How will you use the time and resources provided by your Fellowship to advance
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starting date, (2) reasons for applying, and (3) intentions and visions for the position Curriculum vitae (CV) Diplomas and transcripts of records List of publications, with the option to attach up to five
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during