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Field
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biologging multi-sensor acoustic tags on bats and toothed whales in the wild and combine these data with array recordings, noise playbacks and phantom target generators on trained animals in the lab
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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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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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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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. To reach level-4/5 autonomy, we need teamwork: nearby vehicles, drones, and roadside units must co-perceive their environment, sharing and fusing complementary sensor views in real time. Yet raw video
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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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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
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sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment
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global medical challenges. A postdoctoral position is available immediately for applicants interested in developing novel wearable optical sensors for applications in maternal health. The goals