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of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). * Develop and validate calibration methods for new sensors for turbidity and existing commercial
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on classical supercomputers. Design and optimize classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve
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such that their genotypes mimic genetic variants associated with BD. We will study these circuits by immunocytochemistry, electrophysiology and live cells imaging. The aim of the projects is to approximate cellular
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classical simulation algorithms for quantum circuits. Explore approximate classical simulation algorithms (e.g., tensor networks, circuit cutting) to improve scalability. Publish scientific papers and present
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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in context, e.g., reacting to a partner’s gesture, resembling an object they refer to in the environment. Exploring how these models can enhance human-computer interaction and improve our understanding
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; factors contributing to differential heat/pollution effects across population with varying characteristics vulnerabilities; and use of causal inference methods to estimate health effects of hypothetical
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Position overview Position title: Postdoctoral Scholar in Theoretical Chemistry. Salary range: See Table 23 for the salary range for this position. A reasonable estimate for this position is
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modeling, who are motivated to incorporate their methods into energy modeling.All applicants must demonstrate strong research capabilities, be comfortable working in an interdisciplinary environment, possess
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 17 days ago
). Traditional inversion methods treat these waves as coupled (working with the full displacement), but separating them offers significant potential to improve the accuracy of the inversion. The successful