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/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include
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Algebra, Programming, Data Structures and Algorithms) and AI-related courses (Deep Learning, Feature Engineering). Candidates with experience in university teaching or R&D in related industries is an
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: https://youtu.be/fjBlQ5tWcN4 Learn more about balancing work and Vermont’s beauty: https://youtu.be/b0A5k174Etw Explore the deep relationships we build through ongoing care: https://youtu.be/2jjmQ-77NXw
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
of the ERC Starting Grant DYNASTY (Dynamics-Aware Theory of Deep Learning). The position might include traveling to conferences for paper presentation. Travel expenses will be covered within the limits
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; a global network of campuses and partners for students and faculty to leverage for learning and research; a deep investment in lifelong and experiential learning; a premium placed on pedagogical
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professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong affinity with these fields. Prior experience with reinforcement learning, multi-objective optimization
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doctoral student in the field of chemistry to work on development of deep learning models for estimating protein-ligand binding energies. The specific project is a part of a large-scale collaboration
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 11 days ago
Designer to lead large-scale instructional design and digital learning initiatives that directly impact student success. This senior role drives the design, development, and implementation of major online
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for strengthening activities in relation to their specific expertise (e.g., computational imaging, deep learning, numerical optimization) Where to apply Website https://concorsi.unige.it/home Requirements Additional
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and