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Supporting Statement. Note your correspondence language will be determined by the language you apply in. To apply in Welsh, please click ‘Cymraeg’ at the top right of the screen. Closing date: 21st April 2024
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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across NHS, social care and third sector services in England. We will also work closely with the Bengali community in east London to adapt the intervention culturally and linguistically. You will work in a
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specialisation in a humanity or social science with a broad base in European or international history, law, politics and philosophy as well as fluency in a foreign language. This is a joint appointment by the
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degree in a related subject area. Relevant Teaching Qualification: TEFL-I/ TEFLQ status such as CELTA/DELTA/Trinity Dip or equivalent, and/or MA in TESOL/TEFL/Linguistics. Fluent spoken and written English
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statistical programming language (e.g. R or Matlab). Fluent in as least one programming language (e.g. Shell, Perl, Python, or C++). Experience with computer vision, machine learning and deep learning libraries
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working with students whose primary language is not English in their language-learning journey. This is an ideal stepping stone into teaching for those who aspire to progress or are already on that journey
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Maternal and Fetal medicine, as well as in medical education, research, or management will be an asset; Bilingual language skills to practice medicine in Quebec. Candidates should be able to interact in
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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About the Role The School of Languages, Linguistics and Film is looking to appoint a Research Assistant to work closely with Principal Investigator on an ERC selected, UKRI funded project entitled