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Field
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or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and
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, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs) to improve power efficiency and preserve power integrity. Integrated voltage regulators (IVRs
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 months ago
small batteries do remain to be overtaken. These challenges can be summarized as: (i) computational efficiency/optimization, (ii) power efficiency, (iii) audio latency, and (iv) programmability
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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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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expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior
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developed a protocol for synthesising CVD nanodiamonds containing SiV and GeV centres, and demonstrated their first use as high-pressure and stress sensors [3, 4]. These results have also opened up numerous
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
, Arts et Métiers and CNAM, dedicated to innovation in the fields of mechanical engineering, materials science and advanced numerical simulation. Located in the heart of the 13th arrondissement of Paris
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project position is the design and numerical simulation of quantum-dot-based single-photon sources using advanced optical simulation tools. The objective of the PhD2 project is the microfabrication
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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