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), centered around the development of cutting-edge optomechanical sensors. The position is embedded within QSTeM, a recently established Testbed for mechanical sensing, where novel sensors are designed
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, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in
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AMOLF (Ewold Verhagen’s group), centered around the development of cutting-edge optomechanical sensors. The position is embedded within QSTeM, a recently established Testbed for mechanical sensing, where
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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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group. You will be able to establish new collaborations with the collaboration network of Anurag Bishnoi. You will have travel money for attending (on average) two international conferences per year. You
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the advent of the Internet of Things (IoT), any sensor can be interfaced with a local network or the Internet. This massive deployment has created many security issues and associated solutions
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hydraulic flood models for each study site, informed by sensor networks and image-based observations. Conduct cross-disciplinary geospatial analyses linking modeled flooding patterns with soil pathogen andÂ
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
on responses of liquid crystal elastomers # Integrate sensors on mechanical actuators to monitor their motion Your profile # Completed university studies (PhD) in the field of Material Science, Physics
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University's Department of Computer Science. Supported by significant funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and
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systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis