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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ultrasound sensors for quantitatively measuring
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
computation time, and a complex design. To solve these issues, we propose to follow an original approach where the robot is seen as the assembly of modular limbs, each one having its own sensors, actuators and
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integrate robust sensor solutions with microfluidic, fluidics, and electronics. Collaborate with international multidisciplinary teams with expertise in micro- and nanoplastics, Raman sensors, microsystems
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implants (cannulas, sensors) using stereotaxy; design and refinement of behavioural tasks using the associated equipment; behavioural tasks in rodents; virus injections, collection and processing of in vivo
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of sensors on existing buildings to acquire their response and to identify anomalies caused by micro seismic phenomena. The research is of particular interest to recognize the causes of instability affecting
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Description We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups
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54 MS students) degrees. The McGowan Institute for Regenerative Medicine (https://mirm-pitt.net/ ), Computational and Systems Biology (https://www.csb.pitt.edu/ ), the Vascular Medicine Institute
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expertise in infrasound signal processing to advance our multi-sensor atmospheric observation programme. About the Role: This position is an opportunity to join an active and forward-looking research team
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Marine Biodiversity, you will develop and validate a multimodal bioimaging workflow that connects sensor measurements with their biological meaning. The model will combine RGB images, hyperspectral imaging
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(IIoT) sensors, real-time data analytics, machine learning algorithms, and Digital Twin technologies to monitor equipment health, predict failures before they occur, and recommend optimal maintenance