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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people
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Requisition Id 16727 Overview: We are seeking an R&D Associate Staff Member to support applied spectroscopy, sensor development, and process-monitoring research within the Isotope Applications
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Are you an independent researcher at BSc level with a passion for immunochemistry and bioassays? Would you like to contribute to the development and application of cell-based effect assays and
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the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that integrates athletes’ subjective experiences (such as perceived exertion, motivation
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, semiconductor materials or optoelectronic devices. Experience with materials characterization techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell
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You join MIC’s Research & Innovation (R&I) team. R&I develops advanced microfluidic technologies to maximise their impact across highly varied fields: cell biology, soil remediation, water treatment
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research at the interface of protein engineering, optical imaging, and systems neuroscience. The successful candidate will participate in molecular biology, protein engineering, cell culture, and animal
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Hill Métis District 5 and Elbow Métis District 6). The Department of Cell Biology and Anatomy and the Hotchkiss Brain Institute, in the Cumming School of Medicine, University of Calgary, invite
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
). The use of micro actuators (e.g. Shape Memory Alloys) will be favored. Finally, the integration of sensors will be investigated to estimate the internal state of each module and to measure interaction