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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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. Akyildiz, “Deep kernel learning-based channel estimation in ultra-massive MIMO communications at 0.06-10 THz,” Proc. 2019 IEEE Globecom Workshops (GC Wkshps), 2019, pp. 1–6. [8] J. Tan and L. Dai, “Wideband
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strong foundation in either data science, electronics, or systems engineering—with a deep curiosity to learn the others. Professional qualifications: Educational background: You hold an MSc in
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engineering, chemistry, physics, or a closely related field are particularly encouraged to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning
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to operations team staff members. Learn more about admissions at Bowdoin: https://www.bowdoin.edu/admissions/ The hiring range for this position is expected to be: $106,000.00 – 120,000.00 BENEFITS AND
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
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for emerging software startups. Hop Venture Studio (Tier 3): deep company creation activities including team formation, operator recruitment, product strategy, and seed-stage preparation. Shape venture
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Perspective: A deep commitment to global dance discourses and the ability to champion inclusive, culturally responsive practices. NYU Tisch is committed to fostering the growth of its own faculty; therefore
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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machine learning, deep learning, or AI. Solid mathematical, algorithmic, or physics background, distinct analytical skills. Very good programming (Python, C++) and computer (Linux, Windows) skills