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responsibly. Commitment to full-time, on-campus work at NUS Business School. Preferred Qualifications Prior research experience in accounting or finance projects. Familiar with text or image data processing
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
folding simulations with mass spectrometry experimental data, creating a unique multi-stranded methodology to map out free energy landscapes associated with protein folding in environments spanning gas
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religious mentoring comprehensive mentoring of the academics with the aim of promoting academic excellence and fostering personal growth Application Papers Please find detailed information on the application
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Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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performing delicate surgical procedures. Previous experience with animal surgery is a major advantage. Experience with advanced live-cell light microscopy will also be considered a major advantage. Data
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and phylogenetic constraints on mycorrhizal strategies. In this project the PhD will combine controlled plant–fungus experiments with microscopy, physiological measurements, and quantitative data
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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central role in collecting and analysing quantitative data from employees trialling shorter working weeks. They will examine how working time reduction affects wellbeing and perceptions of work in diverse