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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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well as pediatric malignancy. The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the
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applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python. All applications must be submitted through Columbia University?s Academic Search and
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contributor in technology governance and long-term IT strategy. The full job description is available, here: https://www.dropbox.com/scl/fi/wsfq3tkylrvbj54db5aoi/Principal-SW-Engr-Final-updated-12-19-25.docx
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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combination of education and experience Skills Required: Strong proficiency in one or more modern programming languages (e.g., JavaScript/TypeScript, Java, C#, Python) Solid understanding of web‑based
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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quality assurance Furthermore, collaboration with experimental and other theoretical groups in Vienna is desirable. Candidates should also actively contribute to and collaborate with the CRC TACO, https