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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and
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A postdoctoral position on exascale atomistic simulations, AI/machine learning and data analysis of ferroelectric devices is available immediately at the Center for Nanoscale Materials (CNM
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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using language models to induce programs from text data Experience with computational cognitive modeling Experience with neural networks or other machine learning methods Strong initiative and
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in our cutting-edge Operational Data Science Lab. We are looking for a dynamic individual who is passionate about computer vision and machine learning. In this role, you will develop innovative machine
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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Electromagnetic simulation We also welcome researchers from different fields: AI (machine learning, big database, etc) Semiconductors As a minimum requirement, you must have a PhD degree in Electrical and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
at the University of New Hampshire. The candidate is expected to carry out applications of machine learning (ML)/artificial intelligence (AI) to various magnetism problems. Duties/Responsibilities Apply large
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-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and
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• Effective communication skills Preferred Qualifications • Expertise in one of the following areas: Environmental or Performance Physiology, Machine Learning, Motion Analysis, Multiscale Modeling