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to observe low affinity interactions directly and relate them to structural and functional outcomes. In parallel, you will develop new sensors for intracellular potassium concentration leveraging AI based
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large
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, micro and nano sensors, and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production, as well as system concepts and system
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water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
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combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production as well as system
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Sonmez Turan meltem.turan@nist.gov 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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Wireless Sensor Networks for Localisation in Indoor and Outdoor Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application
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and signal-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by
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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing
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smart electrical grid that increasingly relies on the use of intermittent renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data