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models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
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candidates who can build a strong methodological research base in areas of Operations Research, including optimization, stochastics, simulation, machine learning and artificial intelligence. Applicants at all
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of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques
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. The salary comprises two components: a job-related salary element and a personal salary element. For a Postdoctoral Researcher, the job-related salary element is based on level 5 of the job requirement level
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major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position
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component to the success of the Residence Education area for University Housing. The Hall Director is responsible for creating a community where academics and community involvement are honored. This position
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in a finite element code. Study the different dynamic regimes depending on the model parameters. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo
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a higher education setting Demonstrated commitment to academic advising as a key component of student success, as evidenced by prior experiences, such as peer leadership, student affairs leadership
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular