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Field
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Environment The work of the PhD
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CV and you should clearly indicate your skills in operations research, programming, and/or quantitative optimization. Also include your preference for working at KU Leuven or LISER. The KU Leuven’s
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equations • Ability to situate the work carried out within the context of the state of the art • Fluency in English and French, both written and spoken • Writing skills for publishing and promoting research
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and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to
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optimize production. Supervisor: doc. Ing. Martin Kotus, PhD. More information about PhD position: https://tf.uniag.sk/sk/doktorandske-studium-2 Additional admin information: renata.zahorska@uniag.sk Where
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Knowledge of alternative propulsion systems (hydrogen, electric, hybrid) Familiarity with ATM concepts, airspace design, or traffic flow management Experience with optimization or operational research methods
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under different operational conditions. High breakdown voltages and low on-resistances are particularly critical for optimizing device efficiency and minimizing energy losses. Mechanisms of failure
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for atomic oxygen protection Deposit and optimize conformal coatings on satellite-relevant composite and polymer substrates Study the impact of deposition parameters on coating performance (adhesion, barrier
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference