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institutions. Prof. Gritsenko is a political scientist who has carried out qualitative, quantitative, and experimental research on topics of policy and governance, including energy, environment, and digital
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop essentially new methods
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
Control we focus on research and teaching of control and optimization of cooperative, networked, and distributed dynamical systems. We develop novel methods and tools for the analysis and control
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looking for a Post-doctoral researcher to investigate the regulation and dynamics of CD8 T cell immunity and identify mechanisms or pathways that will decide whether an HBV infection will develop into acute
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such as C++ or Java - Excellent command of English - Very good writing skills - High engagement, high motivation, pro-active communication skills, and high social skills - This position is located