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tests with advanced analytical techniques, including ICP-OES, XRD, XRF, EMPA, TEM, and X-ray CT. Resulting hydraulic, geochemical, and geomechanical data will be used to calibrate coupled reactive flow
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their PhDs will also be considered. Experience with qualitative methods is required. Applicants should have demonstrated independent experience in designing and carrying-out empirical qualitative research
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of cybersecurity or data protection Willingness to take on new challenges, strong analytical thinking skills, interest in solution-oriented action Ability to work in a team What we offer Environment and
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: (1) contributing to the development of new analytical tools for the empirical assessment and comparison of welfare state institutions, (2) leading and coordinating the collection of legal information
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the VIOLET research framework Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios Mentor and supervise PhD
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software development and data analytics skills Hands-on mentality with