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and AI, including experience in machine learning software development. E3. Experience in training deep learning models relevant in research projects. E4. Experience of applying good software engineering
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y/o TFM en Visión por Computador, Procesamiento de imágenes, Machine Learning (incluyendo Deep Learning), Experiencia demostrable como programador en alguna de las áreas anteriores Artículos de
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the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance
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(for example threat detection). Essential Application/interview Experience in chatbot or AI agent development Essential Application/interview Proficiency in deep learning and NLP frameworks (for example PyTorch
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The transition toward smart, energy-efficient buildings requires a deep understanding of how occupants actually use space and energy over time. Office buildings generate rich, continuous streams
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 17 hours ago
inventory. The Department enhances the curriculum with opportunities to learn outside of the traditional classroom setting and participate in a variety of media productions. These include the Department’s
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deep learning frameworks Strong problem-solving ability and hands-on implementation skills We regret to inform you that only shortlisted candidates will be notified. Hiring Institution: NTU
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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/deep learning are preferred. Key Responsibilities: Strong candidates should take the lead of at least one of the following responsibilities: Soil organic carbon model development and optimization