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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. Programming: Proficient in Python. Machine Learning: Strong experience with frameworks
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/jobs/357709/postdoc-in-artificial-intellige… Requirements Specific Requirements Master’s degree in computer science or artificial intelligence, data science or a related field. Background in Bayesian
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-MINATEC site in Grenoble. Around 100 people work at the LTM: 30 researchers or research professors, 18 engineers and technicians, 31 doctoral students, and 16 postdocs. The laboratory's activities
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more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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clustering, redshift-space distortions, weak/strong gravitational lensing, and artificial intelligence/machine learning (AI/ML). The observational focus is on optical sky surveys (DES, DESI, Roman, Rubin Obs
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postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH ZürichETH Zurich is one
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Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field. Strong publication record in relevant top-tier venues (e.g., NeurIPS, ACL, ICML, ICLR, AIED, LAK
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied