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Field
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is concerned with the mathematical problem of comparing and interpolating distributions of mass, for example probability distributions. The concept has lately gained increasing interest from
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theory. o SAT, SMT, and CHC solving. o Temporal logic and TLA+. o Distributed algorithms, blockchains, and smart contracts. o Quantum information theory and Markov decision processes. Additional
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? PhD position in Algorithmic Number Theory and Cryptography There is a vacancy for a PhD Research Fellow in Algorithmic Number Theory and Cryptography at the Department of Informatics . The position is
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short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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. -) SAT, SMT, and CHC solving. -) Temporal logic and TLA+. -) Distributed algorithms, blockchains, and smart contracts. -) Quantum information theory and Markov decision processes. Conditions of employment
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their creation. Functions to be developed: Build a Reinforcement Learning system that supervises and adjusts text generation through inputs and outputs. Develop automatic model selection algorithms
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processes with a focus on atmospheric applications. Contribute to the development and implementation of mathematical models and numerical algorithms. Analyze data from numerical simulations, climate models
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microstructure (grain size, alloying elements distribution, crystallographic texture), mechanical properties (hardness, yield and tensile strength) and corrosion profile (rate and localization). This work focuses
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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature