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of stochastic processes and/or optimization. Candidates should have experience with programming of scientific software. Excellent proficiency in English is required, as well as good communication skills, both
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— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models
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understanding. You will be supervised by Svenja Fischer, Ryan Teuling and Claudia Brauer. Where to apply Website https://www.academictransfer.com/en/jobs/357376/phd-candidate-ml-based-predicti… Requirements
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activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
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Description The Berlin Mathematical School is the graduate school of the Cluster of Excellence MATH+ ( http://www.mathplus.de ) and a joint endeavor of the mathematics departments
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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part of the Virgo Collaboration at the European Gravitational Observatory (EGO) and has been active so far in searches for ultra-light dark matter, anisotropic stochastic GW background, gravitational
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote