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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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the department of Experimental Psychology at the Faculty of Behavioural and Social Sciences. The candidate will work under the shared supervision of Prof Dr Jelmer Borst (Artificial Intelligence) and Prof Dr Elkan
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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biology and cancer. The position will be within the Molecular Signaling and Bioenergetics group headed by Prof. Mathias Ziegler. About the project/work tasks: To establish technologies for the measurement
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and Cell Identity, relevant for stem cell biology and cancer. The position will be within the Molecular Signaling and Bioenergetics group headed by Prof. Mathias Ziegler. About the project/work tasks
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-matter Bose-Einstein condensates (BEC) using optical signals in the telecom and infrared (IR) spectral ranges. Project background: The control methods are enabled by strong exciton-photon and exciton
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, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant in the course NSC 5661 Systems Neuroscience. This job
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Code 9519 Employee Class Grad/Prof Student Position Add to My Favorite Jobs Email this Job About the Job This person will act as a teaching assistant on the course NSC 5461 Cellular and Molecular