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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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collaborations between experimental and theoretical researchers. The center enjoys connections to other quantum science activities in Copenhagen, for example in quantum optics and mathematical quantum information
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, emmva@dtu.dk . You can read more about the Department of Applied Mathematics and Computer Science at www.compute.dtu.dk and about the Section for Cybersecurity Engineering at www.compute.dtu.dk/sections
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of technological advancements, and we're excited to include more brilliant minds in our journey. See our publications and projects here. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is
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, Bachelors, Master’s or Doctorate degree in science, social science, economics, mathematics, engineering, public policy, business, law or other field relevant to the DOE mission. Applicants pursuing a degree
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About the LCSB The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct...
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science