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experiments, large-scale data analysis, and computational methods to advance our understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and
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working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: Nowcasting and forecasting using large and diverse data sources Macroeconometric
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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. The Postdoctoral Fellow reports directly to faculty in the Digital Reskilling Lab and
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep
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Department of Medical Oncology of City of Hope. You will directly work on projects focused on genitourinary cancers, specifically kidney, bladder, and prostate cancers. For more information about Dr. Sumanta
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strong command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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Apply Now How to Apply Please email the following to Kowalski.postdoc.hiring@umich.edu : Cover letter, including interest in collaboration CV, including names and contact information
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, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning