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migration PhD Projects, Programmes & Scholarships
We have 112 migration PhD Projects, Programmes & Scholarships
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Squeezing through small gaps: Understanding nuclear mechanics during invasive migration
Macrophages are highly migratory immune cells capable of engulfing and removing dead cells, debris and pathogens. Read more
Remittances, socio-economic development and migration
Migrant remittances remain an important source of external financing for many developing economies. The estimated total amount of remittances flowing between countries in 2018 was US 694 billion, an increase from US 128 billion in 2000 (World Bank, 2021). Read more
Cancer biology: identification of new treatment options for EML4-ALK driven lung cancer through understanding mechanisms of cell division and migration.
Lung cancer is the largest cause of cancer-related deaths in the UK and worldwide. While little progress has been made in long-term survival rates, we now have a good understanding of the genetic drivers raising the prospect of earlier diagnosis and more effective treatments. Read more
The links between chromatin organization, microtubule dynamics and tumor cell migration
We are seeking for a highly motivated PhD students to study the links between chromatin organization and microtubule dynamics or/and tumor cell migration. Read more
4-year PhD Studentship: Pandemic Potential of Avian Influenza in the UK: Modelling Cross-Species Transmission and Spillover to Humans
The 2022 Avian Influenza outbreak in the UK is largest on record and the first time farm-to-farm transmission and animal-to-human transmission has been identified[1]. Read more
Role of lipids in regulating in vivo chemotaxis
Aberrant cell migration is a critical factor in the progression of many diseases including cancer and atherosclerosis. Read more
An automatic simulation development approach for agent-based (migration) modelling
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. Read more
Therapeutic targeting of chemokines in inflammation
Protein interactions underlie most biological processes but are challenging to target using small molecule drugs. Many protein interactions are mediated by short-linear-interacting motifs (SLiMs) that range from 3-12 amino acid residues (1, 2). Read more
Molecular editing of complex molecules via photocatalytic heteroatom insertion and migration
Modern approaches to drug discovery are increasingly impacted by the development of new synthetic methods, specifically the step-economical and chemospecific manipulation of late-stage intermediates. Read more
Investigating the signalling processes that determine directional glioblastoma cell migration
Glioblastoma (GBM) is the most common and aggressive primary brain tumour, and currently has a median survival of approximately 15 months. Read more
Determining the roles that GRK and arrestin proteins play in the development of hypertension and vascular disease
G protein-coupled receptors (GPCRs) constitute a very large family of heptahelical, integral membrane proteins that mediate a wide variety of physiological processes ranging from the transmission of light and odorant signals to the mediation of neurotransmission and hormonal actions. Read more
Externalising borders and refugee migration
The Global Challenges Centre for Doctoral Training provides a stimulating interdisciplinary environment for students to research a key global challenge. Read more
Integrating mechanical and chemical cues in stem cell migration and division
Adult stem cells are found in most tissues, and the interaction between stem cells and their niche tightly controls their self-renewal and differentiation state. Read more
Language policies and migration in Europe: a comparative approach
The project provides a new comparative analysis of language policies as a key factor in integrating asylum. seekers and refugees in European countries. Read more
A Machine Learning Approach for Migrating to Microservices
This project aims to advance the state of the art by defining an approach that uses machine learning techniques to automate the migration of monolithic software into microservice architecture. Read more