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computing and scalable algorithms • Decision science and learning health systems design Qualifications Required: • Ph.D. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model datasets, e) a strong desire/motivation to develop scientific
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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screening algorithms, is meritorious For complete eligibility requirements for a position as a PostDoc at Jönköping University, see the applicable parts of the Regulations for the employment of teachers
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of science data from the IXPE mission (including algorithms, development of simulation and analysis tools, and interpretation of the results), particularly for the study of extended X-ray sources (supernova
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will focus on models and algorithms for the intelligent control of bidirectional energy flows, the integration of vehicles into microgrids and smart grids, and the provision of ancillary services such as
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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technologies, software development, algorithm design, and data applications. Discipline, including, but not limited to: Computer Science and Technology, Cyberspace Security, Data Science and Big Data Technology
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actionable insights (e.g., visualizations, algorithms) in real-time. The MLE will join a dynamic, multi-site team working at the intersection of machine learning, digital phenotyping, pediatric mental health