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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 15 hours ago
Location: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Physics / Quantum Information , Quantum Information Science , quantum information theory , quantum information
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classical computing algorithms are NP-hard or, in general, difficult to implement. Within your application, please provide a research proposal (no more than five pages) answering the following questions: What
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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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opportunities for a broader range of science-based applications What will I be doing? As a postdoctoral fellow in the FES Postdoctoral Research Program, you will conduct your proposed research related to the FES
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have the opportunity to engage in pioneering research, collaborate with a dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The Department of Electrical and Computer Engineering at Florida International University is seeking
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. You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven
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publish in peer-reviewed journals Your Profile: Master and preferable subsequent PhD in computer science, natural sciences, mathematics, or a related field, with a strong scientific record documented
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems