128 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs at Cornell University in United States
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expected for conferences and partner meetings. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30764). Qualified candidates should submit a short cover letter
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teach one course per semester. These courses will be small innovative seminars of their design or a section of Science, Technology, and Governance in the geographical region of their specialty. We imagine
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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applications received before August 29, 2025 will be given full consideration, but the posting will stay open until the position is filled. Only complete applications will be considered. Please apply at: https
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Dyson School of Applied Economics and Management. The Postdoctoral Associate will contribute to quantifying the private value of improved soil health across the U.S. using econometric techniques and
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expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health
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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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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity