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Field
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sensors, instruments, and data analytics for such applications. The position responsibilities also include giving periodic progress reports via slide decks and written documents, working as part of a multi
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the installation and characterization of a cold optical filter bench inside a dilution refrigerator, and the evaluation of its performance when coupled to a transition edge sensor (TES) or superconducting nanowire
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indicators and neurotransmitter sensors (fiber photometry), opto- and chemogenetics, engram visualization and mouse behavior. By joining our team at the University of Amsterdam, you will contribute to a deeper
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maintain robust hardware–software interfaces for sensors, actuators, and communication systems. You will contribute to system validation, simulation, benchmarking, and performance analysis in clinically
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three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods
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, standards-compliant communication layers while mitigating corruption and synchronizing high-rate sensor streams), and iii) inference generalization from single prototypes (extrapolate from single-unit test
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integration sensor data and behaviour obervation, we aim to establish signatures and indicators of sleep and wakefulness in domestic pigs during passive periods. We are now looking for a PhD student who, within
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The group of Prof. Ulrich Schmid at the Institute of Sensor and Actuator Systems (ISAS) at TU Wien invites applications for a PhD position starting in July 2026 in the field of MEMS resonators
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characterization of a cold optical filter bench inside a dilution refrigerator, and the evaluation of its performance when coupled to a transition edge sensor (TES) or superconducting nanowire single-photon detector
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printing processes. In parallel, they will fabricate sensors for humidity detection and visible light response using flexography and screen printing techniques, ensuring their proper characterization