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surface features designed to enhance the performance of microfiltration (MF), ultrafiltration (UF), membrane distillation (MD), and nanofiltration (NF) processes. The role involves advanced membrane
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an excellent research environment, with a potential to work with a Quantum Computer through our collaboration partners. The Center possesses the unique possibility to investigate cutting-edge interdisciplinary
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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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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accomplishments are preferred. Experience with modern sampling techniques such as metadynamics, machine learning; good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is
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on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental