Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
multimedia visual communication. The project may be conducted as a 50% practice/50% theory PhD, or as a 100% theoretical PhD. The successful applicant will be supervised by Dr Carol Adlam, Associate Professor
-
Overview This self-funded PhD project explores the relationship and tensions in visual culture and politics/ideology in moments of intense socio-political change brought about by rebellion, protest
-
: Successful applicants for the PhD in Nottingham Business School normally hold a first or upper second-class honours degree from a UK university or an equivalent qualification. Candidates with a lower second
-
demands. This PhD project focuses on addressing workforce challenges within the health and social care sector, aiming to develop systems thinking approaches to enhance decision-making. The specific
-
BA programme in Media Communications, and our Masters Programmes in Broadcast Journalism, Media and Globalisation and Museum and Heritage Development, with Communication University of China (CUC). Your
-
, billboards, placards, flyers, wearables, digital advertising, TV advertising, motion graphics and/or social media campaigns in particular. We are looking for innovative PhD proposals that critically
-
economy. This PhD project will assess the impact on female athletes live and wellbeing, the aim is to contribute to equality and diversity in professional sports. Research questions: Through the lens
-
transformational courses. We are one of the largest law schools in the UK, offering a range of undergraduate degrees, academic and practitioner taught postgraduate courses and a strong research degrees programme. In
-
, especially in the tech sector (Schepers, Vandekerkhof, & Dillen, 2021). In this context, this PhD project aims to investigate the role of entrepreneurial ecosystems in fostering resilience and enhancing
-
management: strategy, planning, and operation, Prentice Hall, London, 2001. [2] M. E. Karaa, S. U. O. Fırata, A. Ghadgeb, (2020), A data mining-based framework for supply chain risk management, Computers