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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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energy consumption in information processing and machine learning (e.g., arXiv:2308.15905); Quantum phenomena in information processing: exploring how quantum effects can be utilized to process information
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 23 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced
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environment, to assist trainees, and present their work in shared lab meetings and external meetings. Highly motivated individuals holding a PhD degree, preferably in virology, are encouraged to apply. The lab
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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and industrial partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and