PhD Studentship in Computational Biology: The University of Cambridge is offering a fully funded 4-year PhD studentship focused on research that uncovers the mechanisms of action of anti-malarial drugs using advanced computational techniques. This collaborative project will utilize artificial intelligence and long-read DNA sequencing to map DNA damage and genome replication.
Designation
PhD Studentship in Computational Biology
Details Table
| Attribute | Details |
|---|---|
| Research Area | Computational Biology, DNA Damage, Anti-Malarial Drugs |
| Location | University of Cambridge, UK |
| Eligibility | Candidates qualifying for home fee status |
| Qualification | Relevant academic background in biological, computational, or mathematical sciences; some programming experience required |
| Funding | Fully funded for 4 years |
| Contact | Michael Boemo (mb915@cam.ac.uk) |
Research Area
The studentship will focus on using artificial intelligence to study the mechanisms of anti-malarial drugs, particularly looking at DNA damage and genome replication processes.
Location
University of Cambridge, UK
Eligibility/Qualification
- Candidates must qualify for home fee status.
- Relevant academic background in biological, computational, or mathematical sciences.
- Some programming experience in languages such as Python, C, or C++ is beneficial but not mandatory.
Description
The successful candidate will join a collaborative research team, working closely with Professor Catherine Merrick’s parasitology laboratory. The role highlights the opportunity to improve software engineering skills, engage in deep learning, and work with large datasets. Training will cover:
- Software engineering in Python, C, and C++
- GPU computing
- Designing artificial neural networks
- Processing and managing large datasets
How to Apply
Interested candidates should contact Michael Boemo via email with:
- A recent CV
- A brief description of their academic background
- A personal statement of motivation for joining the lab
Last Date to Apply
Deadline: 3 January 2025
