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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The position is part of an on-going
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of research methods in applied or agricultural and food economics, as well as strong quantitative and statistical skills. Proficiency in English and excellent communication abilities are required. Motivation
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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materials and resource efficiency by developing a new method to produce ZERO-emission concrete using only recycled materials. Duties As a PhD student, you will perform both experimental and theoretical work
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methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work with and develop custom made techniques coupled to high resolving mass
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handful of them have excited states with the opposite parity as the ground state. Hence, in most cases, traditional spectroscopic methods cannot be applied to negative ions, leaving many of them poorly
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that lymphopenia is associated with decreased overall survival in cancer patients. Currently, there are no established methods that enable the modification of radiotherapy protocols to prevent lymphopenia without
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capabilities of nonlinear quantum systems, employing tools from quantum information theory and quantum metrology. The work will involve learning and applying mathematical methods to solve open quantum dynamics