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optimizing their properties for 3D bioprinting of different tissues. PhD topic 2: The research project addresses the possibilities to manipulate the thin film morphologies of block copolymers having charged
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the group's efforts in testing, calibration, and maintenance of the detector systems installed on our scientific instruments in user operation. Your responsibilities will include ensuring their optimal
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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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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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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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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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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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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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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benefits What you will learn: - Catalyst synthesis - Spectroscopic characterization - Electrochemical mass spectrometry - (Electrochemical) reactor design and optimization - Ion transport measurements