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Field
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-edge research into community participation, while developing skills and experience in new methods and data, within a large multidisciplinary research centre. The post holder will work under the
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, which has 15 permanent staff members, is responsible for the bachelor's, master's, and PhD programs. The department also has a large portfolio within continuing and further education (EVU). Furthermore
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of large-scale computational schemes involving learning algorithms and dynamical systems models; (iii) application and fine-tuning of these tools using single cell data from stem cells, immune cells, and
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of something groundbreaking! The selected candidate will have an exciting opportunity to contribute to cutting-edge computational research, analyzing large-scale phenotypic and genomic data with real
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academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals $2 billion. UC is a mission-driven
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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Working as part of a research team, the successful candidate will develop and design a power converter for EV rapid charging and big renewable hookups. This is an opportunity for the right candidate
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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Contribute to the creation of a large database on historical banknote users Collect and summarise relevant background information about monetary and financial history in modern Britain between 1690s and 1920s