57 programming-language-"St"-"University-of-St"-"FEMTO-ST-institute"-"St"-"St" positions at Nottingham Trent University in United Kingdom
Sort by
Refine Your Search
-
across a range of subject areas, including history and global cultures, English language and linguistics, journalism, and philosophy. Together, our unique community of experts are combining different
-
across a range of subject areas, including history and global cultures, English language and linguistics, journalism, and philosophy. Together, our unique community of experts are combining different
-
Safe and Inclusive At NTU, we continue to build an inclusive culture that encourages, supports and celebrates the diverse voices and experiences of our students and colleagues. By championing positive wellbeing, we promote an environment where all can thrive and reach their full potential. We...
-
, an exhibition and linguistic landscape data. Applications are welcomed from individuals with knowledge of sociolinguistics. You will be required to speak German at a high level to work with German project
-
create. Our specialities span across a range of subject areas, including history and global cultures, English language and linguistics, journalism, and philosophy. Together, our unique community of experts
-
conversations amongst local people on energy and climate issues where cost-of-living pressures and language/cultural barriers may hinder engagement. · Securing support and local community benefit for large-scale
-
interest in machine learning and data analytics are highly desirable, alongside excellent communication and programming skills. Prior experience in data analysis or the workforce management industry is also
-
normally hold a first or upper second-class honours degree from a UK university or an equivalent qualification. International students will also need to meet the English language requirements - IELTS 6.5
-
in innovations that cement our place as a leading force in business and management education, research and impact. You will have a successful track record in leading course/programme design
-
with ML adoption. Additionally, Natural Language Processing (NLP), Qualitative content analysis or thematic analysis might be used. By selecting and combining the most appropriate methodologies based