Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
-
to obtain, a PhD (or equivalent) in apparel technology/engineering or a related discipline, with research experience in product development, pattern engineering and anthropometric data analysis. Some
-
Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
-
, analyse qualitative data, and help prepare summary reports and manuscripts for peer review publications. You will need to hold a PhD that includes training in qualitative research methods. You will have
-
in the UK. Applications are welcomed from individuals who hold a PhD in physics, chemistry, materials science or another related field and have experience in the development of ultra-high vacuum
-
– from rodents to humans. Please see job description for further details on the project. The candidate must have a PhD in Cognitive/Computational Neuroscience, Experimental Psychology, Human-Computer
-
Doctoral Training Partnership (NWCDTP) ESRC North West Social Science DTP (NWSSDTP) Your PhD Humanitarianism & Conflict Response Studentship application will be considered based on your programme application
-
Type of award Scholarship Managing department Faculty of Science and Engineering Value With this fully funded PhD scheme, you don’t have to choose between starting your career or researching for a
-
a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in
-
, or be working towards, a PhD or equivalent in environmental modelling, geographical information science, (computational) environmental science, (computational) physical geography, (computational