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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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, Movebank), remote sensing data, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global
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of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning
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of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning
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of small-molecule drugs, nanomaterials/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning
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Education and Experience PhD or MD in Neuroscience, Psychology, Cognitive Science, Public Health, or related discipline, with experience in multimodal data integration and statistical analysis
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integrating them with biosensing frontends. Computational Analysis: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical
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settings, as well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building
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, neuroimaging and vascular risk factors using US big data. Among the key duties of this position are the following: Participate in lab meetings, research-in-progress seminars, data analysis, and
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theoretical chemistry, machine learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in