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-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Stuttgart / Tübingen, the MPI for Informatics in Saarbrücken or the ELLIS Institute Tübingen. Each CLS fellow
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, economics, or a closely related field Excellent academic records and is motivated to produce high-quality, policy-relevant research Have excellent quantitative skills: statistics, optimization, stochastic
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, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn new skills and
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optimization. Beyond strengthening your scientific and methodological expertise, you will gain experience in clinically grounded research that connects neurorehabilitation, movement science, and data
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interests, the project may include: Development of next-generation focused ultrasound systems fMRI-guided treatment planning and targeting Optimization of targeted drug delivery and therapeutic dosing
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., microbubbles, nanodroplets, liposomes, or polymeric/lipid nanoparticles) Optimization of drug loading, encapsulation efficiency, and release kinetics Physicochemical characterization of carriers (size, zeta
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hidden in conventional measurements. The resulting understanding will guide the synthesis and optimization of semiconductor nanocrystals for applications requiring highly uniform optical properties
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excellent postdoctoral fellow (18 months, starting 1st January to 1st April 2027 or upon agreement) to take the next step in his or her career, expanding expertise in daylighting for human health and well
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nanoplatelets, magic-sized nanocrystals, or conventional colloidal quantum dots form from a specific synthesis remain poorly understood. The central aim of this project is to develop a universal
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background Railway infrastructure provides substantial capacity for the movement of people and goods, yet this capacity is reduced or suspended whenever there are interventions. Interventions, which range from