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environments, and communicate fluently in English. Ability to multi-task and work cooperatively with others. Preferred Qualifications: Skills in the setup, instrumentation, and maintenance of sensors and sensor
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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• Experience in flow cytometry Job Description: This position seeks a highly motivated postdoctoral fellow to investigate how cell death sensors regulate immune responses, with an emerging interest in the retina
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conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
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states within the brain. Research Focus Areas: Our laboratory has three main research thrusts: 1. Engineered Cellular Sensors for Neurodegenerative Disease Detection and Treatment - Developing receptors
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of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers
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the metropolitan area of Marrakech. The College of Computing at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things
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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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his peer network, including at the Massachusetts Institute of Technology (MIT) and elsewhere in the US, Europe, and Asia. Salary and terms of employment The appointment will be based on the collective
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participating in the training and management of PhD students. Solid-state spin photon interfaces are central to emerging quantum technologies, such as optical quantum networks and quantum sensors. Point defects