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Quantum Materials for Next-Generation Technologies AI-Integrated Smart Sensors for Environmental and Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines
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should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. About our
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the topic: 1. M Balaish, JLM Rupp, Widening the Range of Trackable Environmental and Health Pollutants for Li‐Garnet‐Based Sensors, Advanced Materials, 2021; https://doi.org/10.1002/adma.202100314 2. M
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of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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as Postdoctoral Researcher with Professor Róisín Dwyer’s team in the Discipline of Surgery at the University of Galway, Ireland. This position is part of the Precision Oncology Ireland (POI)-2 Network
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new era in the exploration of the universe. The addition of the Virgo antenna into the network led in 2017 to the detection of a neutron star binary merger that could be followed in electromagnetic
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explore new ways to build sensors, such as superradiant clocks and collaborate with industry, startups and users to bring quantum technology to the market . This project is embedded in the Quantum Delta NL
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both
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Navigation and Perception Lab (https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research environment (https://www.oru.se/english/research/research-environments