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-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
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-on experience developing generative models Is highly proficient in PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and
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communication, and networking. Access to state-of-the-art equipment and facilities and infrastructure within functional proteomics, including a unique collection of advanced instrumentation for mass spectrometry
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the challenges of the construction sector and society in relation to the green transition. AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots This Postdoc will have an
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public – try to influence perceptions of regime strength, durability, and resolve among their supporters and opponents to secure and consolidate their position. The project analyzes both rhetorical and
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infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
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, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial
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. The position is a full-time, fixed-term appointment of 31 months. The postdoc will be part of the research project Networks of Migrant Solidarity: Local and Translocal Dynamics in Civil Society and
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will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include Advancing equivariant neural network potentials
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implementation research, to National Reference Laboratories, international organizations, and supranational institutions such as the European Commission and the European Food Safety Authority. Our work focuses on