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Field
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quantum sensing techniques to probe these emergent states. The successful candidate will join a small, collaborative team and be involved in all stages of the research cycle: design and operation of
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value creation and nutrition in Switzerland through integrated pilot projects in production, processing, trade, and consumption. The project addresses economic, social, and political challenges
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, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract kinetic information. Evaluate bioconjugation
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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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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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metagenomics, classical microbiology, and biochemistry, we study their impact on biogeochemical cycles and identify the molecular mechanisms driving these processes. Our long-term goal is to understand
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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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Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with