65 algorithm-development-"Multiple"-"Prof"-"Prof" uni jobs at Nottingham Trent University
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Overview Our understanding of the immune pathogenesis of multiple sclerosis (MS) is incomplete. There is lack of clarity regarding why some patients have aggressive disease and there are no reliable
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perspectives and deepening our understanding of the world. Our courses are built on the ethos of developing intellectual and practical skills, adding value to students’ employability and providing an outstanding
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Overview Poverty is a significant challenge in developing countries, with large portions of the population living below the poverty line. For example, 12.9% of India's population lives in poverty
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Overview Multinational Corporations have a great opportunity to advance Sustainable Development Goals (SDGs). This is more so in developing regions such as Africa that face huge challenges meeting
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projects and initiatives, we are helping local employers and their employees to develop, upskill and grow. Since January 2021 we have attracted over £9m of funding to deliver training and support to local
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% businesses worldwide yet, their participation in global value chains remains limited (World Economic Forum, 2023). The disparate reality of developing and developed economies, as well as that of large and
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is low, so development of dietary interventions to support adaptation of more environmentally sound diets is now urgently necessary in order to switch from reliance on imported soya to use of local
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the United Nation’s sustainable development goals (UN SDGs). One of the urgent goals is “climate action” (Goal 13) by “Taking urgent action to combat climate change and its impacts”. Under this pressure
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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. We welcome the unique contributions that you can bring and we encourage people from underrepresented communities and...
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maintenance, production efficiency, and quality control. While the benefits of ML are significant, its adoption also introduces risks such as data privacy concerns, algorithmic bias, model transparency issues