Fully Funded PhD Studentship in Computational Biology and Biomedical AI Imperial College London in United Kingdom

Nick Polizzi is recruiting postdoctoral researchers for two new projects at Dana-Farber Cancer Institute / Harvard Medical School , with collaboration from Ed Boyden’s group at MIT and another project involving Scripps and MGH . The first opening focuses on in situ protein sequencing , including the development of new peptide binders to enable single-molecule protein sequencing . This role is described as a combined computational + experimental position and is funded by the Keck Foundation . The...

Teesside University is offering a fully funded PhD opportunity in a research group working at the intersection of computational systems biology and deep learning . The project is aimed at a researcher interested in time-resolved multimodal artificial intelligence for applications involving imaging, omics, biotechnology and food. The work brings together AI and machine learning approaches with biological and data-rich research questions, with an emphasis on integrating multiple types of informati...

PhD opportunity in the lab of Ines Cebola at Imperial College London in the United Kingdom. The project is titled “From genetic risk to disease mechanism: functional genomics of steatotic (fatty) liver disease” and is a 4-year fully funded studentship . It uses human liver models , CRISPR functional genomics , and computational approaches to investigate what disease-associated noncoding variants do and how they contribute to disease. This studentship is funded through the UK Human Functional Gen...

[4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD studentship including tuition fees paid directly to the University, a stipend for living expenses (£21,805 for 2026/27), and a Research Training Support Grant of £5,000 per year.] This PhD studentship explores how enhancers control the emergence of blood, vascular, and cardiac cell fates during vertebrate development. Using the chick embryo as a model, the project focuses on how gene-regulatory programmes shape the trans...

PhD opportunity at the University of Southampton in artificial intelligence, machine learning, computer vision, and medical image analysis . The project, Artificial intelligence techniques for illness detection by using MRI , focuses on developing AI methods to detect hypoxic-ischaemic encephalopathy (HIE) in newborn babies by analysing MRI / Susceptibility Weighted Images (SWIs) . The aim is to identify brain injury earlier than the current clinical practice and to help clinicians target early ...