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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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Requisition Id 16764 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of
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the prediction power of clinical outcomes. Domains of applications may include cancer and cardiovascular diseases, and neurodevelopment disorders. The post-doc will also work on software development (in R, or in
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational
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of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
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of data and software used and developed in the project. Contribute to reporting and project management, including participation in project meetings. Publish your research results in peer-reviewed
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skills, particularly proficiency in statistical data analysis software. Excellent written and spoken English. Strong communication and presentation skills, high professional standards, excellent
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conferences. Mentorship & Service: Assist in mentoring graduate and undergraduate students in control theory, machine learning, data analysis, and software implementation; assist in grant proposal development
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make