Research opportunities:
We are looking for potential candidates at Research Fellow/Associate/Assistant levels with strong mathematical background and programming skills, and interested in:
- Machine Learning/AI: Neurology/Neuroscience
- Machine Learning/AI: Electronic Health Record (within Emergency Department research area)
Candidates may write to ehsan.saffari@duke-nus.edu.sg
PhD Scholarship opportunity:
For more information about PhD in Quantitative Biology and Medicine at Duke-NUS Medical School, please refer to https://www.duke-nus.edu.sg/education/our-programmes/phd/qbm-phd
Join Our Team as an Intern
Are you passionate about exploring the intersection of artificial intelligence and neuroscience? Do you have a desire to contribute to cutting-edge research that could potentially revolutionize the field of neurology? If so, we invite you to consider joining our dynamic team as an intern!
Our lab is at the forefront of interdisciplinary research, bridging the gap between AI/ML and Neuroscience. We are dedicated to unraveling the complexities of the human brain and developing innovative solutions to neurological challenges. Our collaborative environment fosters creativity, critical thinking, and meaningful contributions to science.
As an intern in our lab, you will have the opportunity to engage in hands-on research projects that explore the exciting intersection of AI/ML and Neuroscience. Whether you are interested in computational modeling of neural networks, analyzing brain imaging data, or developing machine learning algorithms for medical applications, there’s a place for you here.
We are seeking interns who are enthusiastic, self-motivated, and eager to learn. Whether you’re a postgraduate student looking to gain research experience or a graduate student with a passion for neuroscience, we welcome applicants from diverse backgrounds and levels of experience. No prior knowledge of neuroscience/neurology is required – just a willingness to dive in and explore!
If you’re ready to embark on a transformative journey at the intersection of AI/ML and Neuroscience, we encourage you to apply for an internship with our lab. Please submit your application along with your resume/CV to ehsan.saffari@duke-nus.edu.sg.
Remote applicants are welcome!
Research Assistant / Senior Research Assistant
The Centre for Quantitative Medicine (CQM) in Duke-NUS Medical School invites applications from outstanding candidates to join a talented data team of data analysts, data scientists and biostatisticians supporting cutting-edge research in a world class academic medical center. The school embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) cluster, a network of national specialty disease centres, hospitals, and polyclinics, to advance medicine and improve lives through cutting-edge research and education. CQM is an academic centre for quantitative scientists and strives to bring the quantitative science and biomedical research communities together.
We invite applications for a Research Assistant/Senior Research Assistant position for Intensive Care Unit (ICU) and hospital length of stay after general ward admission from the Emergency Department. This position will be under the supervision of Assistant Professor Seyed Ehsan Saffari.
The main responsibilities of the successful candidate will be to: (1) perform systematic review on the literature, (2) conduct data pre-processing and data cleaning using R software, (3) write scientific reports and contribute on research papers, (4) collaborate on multiple projects within the lab and (5) attend project meetings and join journal clubs.
Job requirement: (1) BS in Statistics, Computer Science or a related field (Degree must be conferred by the start date of the position), (2) prior experience in analysing clinical data, (3) prior experience with systematic reviews, (3) good communication and writing skills, (4) relevant work experience in research or healthcare will be advantageous, (5) fast learner, self-motivated and team player with excellent interpersonal skills, (6) good work ethics and a positive working attitude, and (7) proficient in MS Office applications. R programming skills is advantageous.
Interested applicants please send their applications including CV and Cover Letter over email to ehsan.saffari@duke-nus.edu.sg.
We review applications on a rolling basis and regret that only shortlisted candidates will be notified.