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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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such as transportation and heating. These two transformations create a need for sophisticated planning methods and processes that result in actionable plans by proactively considering high-impact forces
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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
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Tumor Biology – ideally with you on board! Our internationally renowned research team investigates cellular programs of gene control, epigenetics and signal transduction of mammalian cells, with a focus
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related field. - A keen interest in particle physics and data processing at high-energy physics experiments. A strong background in (experimental) particle physics and statistical data analysis is an added
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point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer
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the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
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laboratory experience with photonic quantum sensors, including experimentation, signal processing, and validation using photonic integrated circuits (PICs) and off-the-shelf components. Good understanding
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/learning based techniques in the areas of robotics, or autonomous systems, • interested in autonomous systems and signal processing, • Keen to work with equipment and embedded
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on the legal challenges technical industry is encountering when adopting AI in its processes. The successful candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR