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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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from the longstanding, trusted, and collaborative tradition of the Bronfenbrenner Center for Translational Research, Cornell Human Ecology’s hub for accelerating connections between research, practice
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, but later dates are negotiable. Project Background: Modeling the origin and acceleration of the solar wind remains a central challenge in heliophysics, with major implications for both fundamental
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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drug design” is led by Docent Juri Timonen, at the Division of Pharmaceutical Chemistry and Technology. Our aim is to create new machine learning and artificial intelligence methods to accelerate drug
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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of 18 excellent Doctoral Candidates (DCs) by addressing the fundamental challenges of Embedded AI and accelerating the development of Embedded AI systems and applications through an innovative and
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. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, IBMI offers state-of-the-art infrastructure for innovative research and a perfect environment to accelerate your career
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comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth Collaboration. Work in an open environment that allows you to collaborate with systematic