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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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the Principal Investigator Profs. Himanshu Gupta and CR Ramakrishnan in the Quantum Computing and Network Center of Stony Brook University's Department of Computer Science. Supported by significant
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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
funding program starting January 1, 2026. The workplace and employment will be at the Center for Media, Communication and Information Research (ZeMKI) in the research lab "Media & Education" led by Prof. Dr
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Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Statistics at the University of Minnesota invites applications for a 100%-time, 12-month Post-Doctoral
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To boldy go where no man has gone before. Job description The PostDoc position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga, in which we target (super-resolution) microscopy