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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging
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). You will also co-lead the production of academic papers and dissemination outputs. You will have completed a PhD in a relevant social science or humanities discipline (for example, Human Geography
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trusts involved in the study, contribute to data analysis, presentation of results and scientific dissemination. Candidates will have either an MSc or a PhD in research methodology, the allied health
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North West in the specialist registrar/specialty trainee grade or equivalent and an honorary contract with a relevant NHS Trust*. To be eligible, you must hold (or have submitted) your PhD/MD at the time
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during the project. You will also contribute complementary bioimage and proteomics analyses as needed. Throughout the project you will work collaboratively with research associates and PhD students in
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environment for developing a career in polar research, and our group includes PhD students, post-doctoral researchers and more senior academics. Lancaster University has been named University of the Year 2018
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impactful publications. • Developing collaborations with academic, industry partners and EPSRC projects. You will have a PhD in Computer Science or equivalent with experience in cyber security, distributed
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statistical computing, disseminating best practice and providing mentorship amongst the DASS research community, including PhD students affiliated with the programme. You should have a postgraduate degree in
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programme of scholarship and / or research. The successful applicant will be expected to have completed their PhD, or be within an anticipated 12 months of award. The successful candidate will be required
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of dynamical mathematical modelling and artificial intelligence (AI), with a focus on using applied mathematics and AI methods to address real-world challenges. You will hold a PhD and be able to demonstrate