NATIONAL UNIVERSITY OF SINGAPORE
tendersglobal.net
16 Jan 2024
Job Information
- Organisation/Company
- NATIONAL UNIVERSITY OF SINGAPORE
- Research Field
- Computer science
- Researcher Profile
- Recognised Researcher (R2)
First Stage Researcher (R1) - Country
- Singapore
- Application Deadline
- 14 Feb 2024 – 00:00 (UTC)
- Type of Contract
- Other
- Job Status
- Full-time
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Job Description
The Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.
As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/ for more information on Dr Pitt’s research.
Interested applicants should include the following documents in the job application
- Curriculum Vitae (CV)
- Summary of past research experience
- At least 2 referees including their name, contact information (email) and relationship to applicant
Job Description
- Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data
- Designing and conducting computational experiments to evaluate the performance of machine learning models
- Collaborating with other researchers to interpret results and translate findings into clinical applications
- Writing and presenting research findings at scientific conferences and in peer-reviewed journals
Qualifications
- Master’s degree in Computer Science, Statistics, Bioinformatics, or a related field
- Strong programming skills in Python, R, or other relevant languages
- Strong mathematical and/or statistical background
- Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Excellent analytical and problem-solving skills
- Good written and communication skills
Requirements
Additional Information
Where to apply
- Website
- https://www.timeshighereducation.com/unijobs/listing/363156/research-assistant-…
STATUS: EXPIRED
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