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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and include
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to the EPSRC programme grant "Terahertz frequency devices and systems for ultrahigh capacity wireless communications (TERACOM)" (teracom.uk), EP/W028921/1. This is a collaborative project involving the
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processing; or computational linguistics/language technologies degrees; (b) strong programming skills and machine learning experience; and (c) a research publication record appropriate for the hiring rank
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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machine learning in image analysis, particularly with MRI of the brain. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so
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and spoken English, research experience, academic writing skill, programming knowledge, a strong sense of responsibility and self-motivation, and effective collaboration and teamwork skills. A track
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mechanics and/or voiced speech production. Preferred Qualifications Ph.D. in Mechanical Engineering, or a related field. The ideal candidate will have a demonstrated history of research excellence through
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral communication
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, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text