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Field
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training in computational tools and statistical methods over the course of the project. The project includes placements at NPL and Waters-TA Instruments, with opportunities to work in state-of-the-art
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datasets, therefore, there will be a focus in the implementation of models for large volumes of data. The project will work in an exciting interface of statistics and machine learning and has the potential
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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-economics. Experience in working with datasets and prior coursework in probability theory and statistics will be helpful, but not necessary to apply for the position. How to apply: Please choose Electrical
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solving. Diverse research areas: Work on numerical models, analyzing large data sets, statistical methods and more in a unique scientific environment. Who Should Apply? Emphasizing the physical system
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Disclosure of Campus Security Policy and Campus Crime Statistics Act (the Clery Act), UCSC publishes an Annual Security and Fire Safety Report . This report is published by October 1st of each year and
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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particular NLP, statistical learning, machine learning, generative AI, and their major fields of application. Roles and responsibilities The applicant will join the team of the 3IA Côte d’Azur Institute and
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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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of California, Los Angeles is committed to providing reasonable accommodations to applicants with disabilities . See our Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act Annual