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combining optical sensing approaches, which will prevent signal interference and allow for simultaneous assessment of multiple markers (multiplexing and multifunctionality). Besides the biomarkers newly
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in biosensing, control switches, signal amplifiers and modulators, and high-performance photocatalysis. The conventional plasmonic materials include noble metals, e.g. gold, which was extensively used
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, Geneve 1211, Switzerland Subject Area: Theoretical Physics / Mathematical physics Appl Deadline: (posted 2024/09/29, listed until 2025/09/01) Position Description: Apply Position Description We invite
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microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory...
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of these research topics. Your position The successful PhD applicant will develop a PhD research program in the research fields listed above, or a closely related field, in close collaboration with the daily
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical challenges. Our core research topics include but not limited to the following...