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projects. As part of the Innovative Health Initiative (IHI) project AF-B-STEP (Quantifying Atrial Fibrillation Burden to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim
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data using qualitative & quantitative methods, with excellent academic writing, collaboration, organisation and communication skills. Desirable Criteria: Experience with transformer-based NLP models
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been part of the University of North Carolina System since 1969. Department Computer Science - 32331 External Link to Posting https://jobs.uncw.edu/postings/40210 Vacancy Number TSP5700PST Working
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solutions and that way to support the development of new materials needed in green transition and enabling development of new material applications. Read more about our VTT ProperTune® concept: https
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activement à réinventer la formation des architectes paysagistes de demain. o Vous savez transformer les évolutions de la profession et de la société en orientations pédagogiques pertinentes, tout en
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frameworks such as PyTorch or TensorFlow. Experience working with large-scale geospatial or environmental datasets. Experience with deep learning methods for geospatial applications, including Transformer
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project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method ( https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data
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the Principal Investigator, Dr Bian Yatao at https://yataobian.com Only shortlisted candidates will be notified. Job Requirements Applications are welcome from students with diverse backgrounds
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with Bayesian statistical modelling and deep learning applied to biological or food systems Documented experience with natural language processing of domain-specific text and transformer-based models
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applications, including Transformer architectures, geospatial foundation models, self-supervised learning, and multitask learning. A strong interest in interdisciplinary research and the ability to connect