Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
. Applicants should hold a PhD in computer science or a related discipline. Candidates from GIS, remote sensing, or ecology backgrounds are also encouraged to apply, particularly those with practical experience
-
: This PhD will provide excellent preparation for careers in academic research, cardiovascular and biomedical science, biotechnology and pharmaceutical research, translational medicine, and data-driven
-
Developing Quantum Computing and AI tools for mRNA structure prediction School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Dr Oleksandr Kyriienko
-
Capsule-Size Therapeutic Devices for the Gastrointestinal Tract School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Dana Damian Application Deadline: Applications
-
at the University of Sheffield and supervised by Dr Luke Dunning, you will lead the genetic component of the project, undertaking molecular laboratory work and bioinformatic analyses. Applicants must have a PhD (or
-
[email protected] . Criteria Essential or desirable Stage(s) assessed at A PhD (submitted, achieved or equivalent research/professional experience) in computer science, machine learning, medical
-
the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world
-
Multiscale modelling and statistical inference of tumour initiation and evolution in neuroblastoma School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof
-
ability to work independently and in a team. We encourage applications from diverse academic backgrounds, such as biology, neuroscience, experimental psychology, computer science, physics and engineering
-
apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or equivalent experience) in computer science or a closely related discipline. Applications from candidates who are close to completing a