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, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with deep generative models (VAEs, GANs, diffusion
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data analysis and work with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI
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data analysis and work with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI
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Classification Title: Post Doc Associate Classification Minimum Requirements Ph.D. in biomedical informatics, computer science, data science, statistics, or related STEM fields. Job Description
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job Your key tasks as a postdoc at SCIENCE are to: Manage and carry through your research project Contribute to data infrastructure, technical reporting, and deliverables in the associated EU and
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Public Health Data Science and Data Equity (DSDE) research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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health data science. Primary responsibilities Design, implement, and validate predictive models that use imaging data (e.g., CT, MRI, PET) to forecast response to adjuvant treatments. Build end-to
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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Mission Swiss National Science Foundation (SNSF)-funded project on human motivation, stress physiology, immersive behavioral testing, and multimodal data analysis The Laboratory of Behavioral Genetics