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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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system an opportunistically attack human cells. In this respect mobile DNA elements (particularly transposons) appear key. We have developed a new genomic method to track genome rearrangements that occur
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the Leverhulme Trust – uses an innovative combination of participant generated drawings, gaze-contingent eye tracking, and computational analysis, carried out over multiple experiments to reveal how our
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applied chemistry. Strong background in synthesis and steady-state and time-resolved spectroscopy characterization, with a proven track record of publications in high-impact journal. Special consideration
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City University of Hong Kong, Decision Analytics and Operations Position ID: 3535-RAP [#27815] Position Title: Position Type: Non tenure-track faculty Position Location: Nam Shan Estate, Hong Kong
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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emission from marine and terrestrial sources, through its chemical transformation in the atmosphere, and finally to its deposition as wet or aerosol particles. You will also use statistical inference methods
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completion) in Physics, Nanoscience, Electrical/Optical Engineering, or related fields, Deep understanding and strong educational track record in condensed matter physics and optics, Familiarity with data
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to industrial clients such as Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD, Bombardier, QinetiQ, Thales, Network Rail, Schlumberger and Alstom. Entry requirements A minimum of a 2:1 first degree in a