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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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field. Preferred Qualifications: • Strong publication record in peer-reviewed journals or top-tier conferences relevant to machine learning, computational biology, virology, immunology, or structural
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Duke University, Duke Center for Jewish Studies Position ID: Duke-Duke Center for Jewish Studies-POSTDOC [#31172, 50961808] Position Title: Position Type: Postdoctoral Position Location: Durham
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Department of Computer Systems is internationally highly appreciated scientific and learning centre, which scientific competency is focused on creating of technical systems based on computer systems
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Programming experience (e.g., R, Python) and interest in machine learning approaches Doctoral degree (PhD or equivalent) in Education, Psychology, or a closely related field by the start date Knowledge, Skills
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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of knowledge in the subject of Robotics to develop research in the field, e.g., robot design, control and mechatronics; 4. Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T
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develop methods to disentangle dynamic, multiscale ecological signals from large, heterogenous observational data. This work lies at the interface of statistics, machine learning/AI, ecology, and
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all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/postdoctoral-researcher
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective