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has experience with quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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analysis with X-ray and entron diffraction. Property characterisation using a physical property measurement system (PPMS) and a SQUID magnetometer (MPMS). Ab-initio DFT calculations for property predication
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with a background in Music Cognition, Psychology, Music Technology, or Musical Data Science, ideally with a specialisation in experimental concert research and/or collection and analysis of continuous
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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and simple quantitative research analysis of born-digital sources by leading international experts ample professional development opportunities within the area of digital history, especially in relation
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. DTU Space is involved in the full life cycle of space activities, including concept and design, construction and proto-typing, calibration and validation, implementation and operations, data analysis
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upstream regulator of epigenetic and transcriptional reprograming underlying EMT. Nature Communication. Aug 2017. Dynamics and function of distal regulatory elements during neurogenesis and neuroplasticity
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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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electron microscopy, single particle cryogenic electron microscopy or X-ray crystallography. Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational