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control using deep learning. Implement and test new algorithms in actual robot platforms. Job Requirements: PhD in Electrical and Electronic Engineering or related field. Hands on research experiences in
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Responsibilities: To perform pioneer research in scent digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different
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: Research activities related to Quantum Machine Learning, Agents and Information Theory Job Requirements: For the Research Fellow position, the candidate must hold a Ph.D. degree in quantum information
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 18 hours ago
: PD&PEWER Level A&B Postdoctoral - Research Fellow _ CSS.pdf This position will provide opportunities to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited
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fellowships (10+ positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth and astrosciences, life sciences
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antigens, T cell receptor (TCR) and antigen interactions and their crucial role in anti-cancer immune responses. You'll leverage your strong background in computational biology, machine learning, and
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Call for proposals The NOMIS Foundation and the Institute of Science and Technology Austria (ISTA) have launched an interdisciplinary basic research program for exceptional postdoctoral scientists
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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, United States of America Subject Areas: Statistical Machine Learning/Computer Science Appl Deadline: (posted 2024/11/26, listed until 2025/05/26) Position Description: Apply Position Description The Statistical Machine
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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students