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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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to assess in how far vertical mixing is beneficial or detrimental for productivity under different environmental conditions (soil moisture, atmosphere) and how it might affect optimal stomatal control
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to assess in how far vertical mixing is beneficial or detrimental for productivity under different environmental conditions (soil moisture, atmosphere) and how it might affect optimal stomatal control
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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regulate mesodermal differentiation and epithelial-mesenchymal transitions (EMT) using innovative experimental approaches. Objectives 1. Create controlled heterogeneities in gastruloids via fusion
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is