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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
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focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk
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a talented and highly motivated researcher to work at the forefront of exoplanet atmospheric science with JWST. The postdoc will be involved with the analysis and interpretation of JWST data (new data
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must hold a PhD degree (or equivalent) in the life sciences, for example, in biochemistry, biomedicine, biotechnology, or a related discipline. Candidates nearing completion of their PhD are also
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an exciting opportunity to contribute to a cutting-edge instrument during its commissioning and early science phases. You will work with Prof. Lars A. Buchhave (2ES PI) and the rapidly growing
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device development pipeline — from meta-crystal engineering and patterning into spiraling nanoantennas, to comprehensive characterization. The latter will include both surface techniques (AFM) and advanced
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demonstrated expertise in experimental quantum optics and a PhD (or equivalent) in physics, quantum information science, or a related field. We expect you to check multiple of these boxes: Expertise in quantum
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laboratory imaging techniques on PV modules to large scale field inspections. You will contribute to the development of daylight electroluminescence and photoluminescence inspections together with data-driven