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for a limited period of 2 years, in order to carry out research on the project "“Algorithms of Efficient Biomedical Time Series Analysis”. Working conditions and other details can be found on the Web page
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
the response of electrochemical systems in variable operating regimes. The position involves contributions to the evaluation of constructive solutions and relevant algorithms for the control and optimization
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sustainability objectives, promoting the dispersion of tourist flows and personalized experiences. O3 — Design and validate a dynamic pricing mechanism to optimize tourism distribution Implement algorithms
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to focus
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. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: • You are involved in a well-funded
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
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Polish or English, in particular in algorithmics, artificial intelligence, programming or numerical methods; Communicative command of Polish. Availability. Obtaining a grant, scientific or educational
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optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities
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provisioning, and cost monitoring. Establishes testing frameworks and code-quality practices for shared research software with rigorous validation of psychometric algorithms and adaptive-testing logic
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on the NCN website: https://projekty.ncn.gov.pl/opisy/620203-en.pdf The project is interdisciplinary, combining field studies, environmental observations, laboratory analyses, and computational data-processing