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in solar energy by exploring fundamentally the controversy regarding the abnormal evaporation rate and simulate/ predict vapor production rate to guide the design of an optimized interfacial evaporator
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development o Utilization of robotics and microfluidic screening devices o Establishing and kinetic model-based optimization of enzyme cascades o Enzyme immobilization • Scientific and
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qualifications - You are a highly motivated student that takes great interest in research, is curious and excited to learn and optimize new methods and experimental approaches. - Practical experience in molecular
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Excellent knowledge of aeronautical or spaceflight mechanics Excellent knowledge of control theory, including linear, nonlinear, and optimal control Excellent mathematical, analytical and problem-solving
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Sciences and Systems in the lab of Professor M. Bichler. We offer: - a team of young and highly motivated colleagues who are passionate about machine learning, optimization, and game theory. - strong support
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the estimation of damping; 2) developing an optimization-based approach to define the system excitation that maximizes the visibility of desired modes, an improvement that will simplify the analysis and improve
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decision-making in operational settings, aiming to enhance performance and optimize decision processes. Collaboration opportunities with industry partners are available, providing a strong mix of academic
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and evaluation 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
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) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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and evaluation 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