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Field
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such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and
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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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Applications are invited for a 2 year postdoc position in the field of nanomaterials and plasmonic sensors at the iNANO Center, Aarhus University, Denmark. This is a fixed-termed 2-year position
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prior to the application deadline Research experience with deep learning architectures (e.g. Transformers, diffusion models, graph neural networks) applied to multimodal data. Proven expertise in time
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/research-centers . In particular, the FBK Centre for Sensors and Devices (FBK-SD) (https://www.fbk.eu/en/sensors-devices/ ) is an applied research centre that operates in the following scientific and
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such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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quantum networks and quantum sensors. Point defects in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental
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maintain and develop the gravity and height networks of Denmark and Greenland on behalf of their respective governments. Responsibilities and qualifications As a post doc working with airborne gravimetry
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in