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data with good utility. This project involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation
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programming skills (primarily in Matlab, Fortran, or others) and experience in numerical modelling and time series analysis, Fluent command of English, both spoken and written (sufficient for independent work
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fluent in written and spoken English. Desirable qualifications: Experiences in battery technology, especially Li-ion batteries, will be beneficial; as is comptences in materials modelling (DFT, MD, etc
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/resources/industrial-iot-lab ) and residential environments (https://idlab.ugent.be/resources/homelab ). Experimental validation can be backed by modelling or theoretical assessments. You collaborate with
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. Applications are welcome from all areas of operations research, including but not limited to optimization, mathematical programming, analytics, data-driven decision-making, stochastic modelling, and systems
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and
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particular, the successful candidate will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures
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techniques, such as neural motion models and physics-based simulation, enable the creation of lifelike animations with reduced manual intervention, benefiting industries like gaming, film, and virtual
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the University Medical Center (UMG) Göttingen, we will investigate forces generated by neuronal model cells during synaptic activity. The tasks include biophysical experiments with cells using optical