Sort by
Refine Your Search
-
contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
-
engage diverse audiences in new responses to climate change and sustainability. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects
-
• A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and committed with a keen interest in creative and multidisciplinary research
-
activities of the Research Group, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in
-
are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day-to-day research in conjunction with an academic supervisor. To carry out administrative work
-
to the Viking past over time. The ideal candidate will either have a PhD in Old Norse Viking Studies and have engaged in their research with reception, and particularly with branding, marketing and
-
). To engage in the wider research and scholarly activities of the research group, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and possibly
-
of the research group, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day
-
, School or College. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in their day to day research in
-
for both posts are: • PhD in Nutrition, Epidemiology, Statistics. • Expertise in data analysis: nutritional biomarkers (Post 1) • Expertise in dietary data analysis and food data (Post 2