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Field
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productivity, inequality, and growth. Within this framework, the postdoc will work on complex analysis of large-scale company datasets, ownership networks, political-business networks, and matched data
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-disciplinary and combines research in AI, robotics, augmented reality, human machine interface (acoustics and haptics) and cognitive psychology. Where to apply Website https://utc.recruitee.com/o/enseignant
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- Strong programming skills in R, Python or similar languages - Intrinsic motivation to work on complex, real-world problems with societal relevance Nice to have: - Experience with spatio-temporal
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Network that aims to bring Electric solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in
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Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are
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(TASC) program of the ARC Industrial Transformation Research Hub for Intelligent Contaminant-Sensing in Complex Environments (IC-SensE). The TASCprogram explores consumer and workforce adoption of sensor
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen your career as a scientist. As a
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: https://www.list.lu/ How will you contribute? You will be mainly in charge of: Working with real-time simulators (OPAL-RT) with hardware in the loop functionalities to test and validate AI-based solutions
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exploring the structure and function of complex environmental systems. About the Role This is a Research Fellow role embedded within a major externally funded research programme in soil science. You will lead