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the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments on ultrafast quantum dynamics in condensed matter. The candidate
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy infrastructures, or urban energy applications is a strong asset. You are self-driven, creative
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processes in flow batteries. This project focuses on the modelling of electrodes for redox flow batteries to clarify the influence of electrode surface properties on the macroscopic electrode properties. Pore
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match the chemical, mechanical, and morphological properties of native bone. The role of the PhD student at Empa will be the development of synthesis processes using light-based 3D printing of hydrogel
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systems as most biomolecules are chiral and their interactions with other chiral objects are fundamental to many key biological processes. Chiral molecules exist in two forms, a left-handed one and a right
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solid-state batteries. One of research topics is the method of flash-lamp annealing ( FLA, also called intense pulsed light or photonic curing ), which is used for thermal processing of thin films with
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of semiconductor properties through electronic doping to control and modify its electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve
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for an exceptional candidate with a curious, creative, and critical attitude who is enthusiastic about sports and data. We treat research as a team sport and expect the same of you. You have a solid background in
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understanding of protein systems. As a PhD student, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract