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acquired from the degradation in the solid phase obtained by PhD2. Specifically, you will: Build molecular networks based on both chemical structures and mass spectrometric (MS) data to unravel complex
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postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and
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Imagery After Loss: Phenomenology, Predictive Value, and Treatment.” The postdoc will spend 20% of the working hours teaching. Individuals getting stuck in their grief often experience different types
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software development work and running complex robotic experiments with different platforms. Job requirements Required qualifications and qualities: MSc degree in software engineering or robotics, and similar
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with different research methods, including self-report measures and ecological momentary assessment (EMA). Strong analytical skills and the ability to synthesize complex findings. Excellent communication
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University (UU) and prof. Laura Ragni at the University of Freiburg (U-Fr), funded by a NWO-DFG WEAVE grant. The project aims to understand how a complex network of conserved MYB transcription factors is
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-of-the-art econometric methods such as staggered difference-in-differences, regression discontinuity designs, and causal forest–based identification strategies. We ask applicants to briefly sketch in
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advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
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passionate about the Earth and its climate? Do you want to make a difference in science and the world? Do you get excited about satellite images and venturing out to remote places? This vacancy is part of a
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value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions