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that you will obtain the PhD degree no later than 4 months after starting the Post Doc. You must have experience with quali-quantitative methods, tuning of LLM and computational data analysis and
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-efficient magnetic heating/cooling device. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol
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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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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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be designed, and carried out, together with a PhD student already working on the project. Data will then be used to estimate behavioral models and integrated into an activity-based models for scenario
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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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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