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Experience with machine learning methods applied to large data Background in immunology, infectious disease, or inflammatory disease biology About Cornell and the De Vlaminck Lab Cornell University is an Ivy
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welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
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-temporal-resolution bulk measurements (XAS, Raman spectroscopy, XRD), with particular emphasis on pair distribution function (PDF) analysis. Machine learning approaches will be used to support these analyses
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ties with the Faculty of Computing and Data Sciences, where shared interests in machine learning, large-scale data analytics, and Earth system modeling provide natural ground for joint advising, co
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analysis, or assistive technology; Experience in applying AI methods such as machine learning, deep learning, computer vision, multimodal data analysis and large language models (LLM) in health-related
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be an advantage: Quantitative behavioral analysis. Motor or sensorimotor neuroscience. Computational analysis of neural population activity. Machine-learning approaches for neural or behavioral data
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secondments and dedicated training activities. This post will have heavy emphasis on data science & ML programming applied to large environmental datasets (geospatial, weather, tide). This is an excellent
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with