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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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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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-funded study, which examines social pressures among patients with advanced cancers (see links below for more information). These studies feature various multimodal data collection approaches, including
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-lapse geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a
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academic or industry careers. Key Duties: 60 % 1. Conduct research on RNA -targeting type VI CRISPR -Cas systems. 15 % 2. Analyze research data and prepare manuscripts
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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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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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scientific manuscripts, and mentoring students and trainees. Performing experiments and data analysis in order to achieve research aims. Writing and contributing to scientific manuscripts to publish findings
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, cell culture models, and in vivo xenografts to evaluate targeted therapeutic strategies. Additionally, the scholar will synthesize experimental data to draft manuscripts, present findings at scientific
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. The position integrates preclinical optogenetic and intrahippocampal kainic acid ( IHKA ) mouse models with retrospective human iEEG and therapeutic outcome data. Responsibilities include small