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original functions within a single system: (i) a dielectrophoretic particle filter, (ii) a pH sensor/modifier and an electrochemical oxygen filter, and (iii) a microchannel for electrophoretic separation and
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IEMN (Institut d'Electronique, Microelectronique et Nanotechnologie) | Villeneuve la Garenne, le de France | France | 3 months ago
object is used. Applications in urban areas can benefit from the presence of a large number of wireless telecommunications systems (WiFi, GSM, TNT, etc.) and ambient electromagnetic energy can be collected
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domain of science with new possibilities in opto-electronics due to the effects of chirality in light-matter and charge-matter interactions, with applications in OLEDs, cryptography, sensors. Related
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condense low volatility signalling compounds, thus reducing their concentration in the gas phase. How living systems respond to this process is highly uncertain, and whether sensors are adapted to detect
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methods for density and temperature in space plasmas, based on the use of electrical sensors, for use on future space missions. To carry out this space physics instrumental research project, the PhD student
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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: M.Sc. (or equivalent) in chemistry, preferably specialized in analytical
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everyday life applications. More and more, we depend on neural networks to make even critical situations, such as control and motion planning for autonomous cars, and it is of primary importance to be able
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interact within networked environments. This research envisions extending the SID registry as a global service for IoT schema management, leveraging its compactness and efficiency to bridge the gaps between
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations