54 phd-rehabilitation-engineering-computer-science PhD positions at University of East Anglia
Sort by
Refine Your Search
-
of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
-
observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
-
the microbiome. We therefore hypothesise that myeloma treatment–induced alterations to the gut microbiome directly impact immune function and increase susceptibility to infection. Research Methodology This PhD
-
in RNA biology, biochemistry, and Oxford Nanopore sequencing. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry
-
both laboratory (sequencing, qPCR, phage biology) and computational/analytical areas (bacterial and phage phylogenomics, genome-wide associations). During the PhD programme the student will spend time at
-
NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
-
scope to adapt some elements of the PhD to their interests. There will also be opportunities to join related project teams in long-term condiWe are seeking a motivated and compassionate student with a
-
across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
-
Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project
-
to oceanography and climate research communities. PERSON SPECIFICATION This project is suited for a candidate with a background in natural sciences, engineering or mathematics, with good numerical and programming