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objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
site, theoretical work is led by Prof. Angel Rubio at MPSD. We are currently inviting applications from enthusiastic and talented researchers to join the teams of: Dr. Michael Ruggenthaler – Mathematical
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(IOPP) at Central China Normal University (CCNU) invites applications for a postdoctoral research position in lattice gauge theory, with an emphasis on computational and algorithmic advancements
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Research and Logistics group at Wageningen University, the Zero Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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Deadline: none (posted 2024/11/01) Position Description: Position Description Led by Prof. Fabio Boschini, the time-resolved ARPES (TR-ARPES) laboratory at the Advanced Laser Light Source (ALLS) user
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Technologies Programme and is a five-year project with £22.4 million total funding for a consortium of 17 institutions and over 50 research groups. The task of the theory group led by Prof Kyriienko
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Assistant (Predoc) in the group of Univ.- Prof. Hajo Boomgaarden, PhD. Communication Science is an integrative social science characterized by methodological diversity, with a focus on indirect public