180 computer-science Fellowship positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
within/outside of research group, using appropriate presentations format Key Competencies and Requirements: PhD degree in bioinformatics or statistical genetics, computational biology, or related field
-
Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
-
bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
-
Degree in Computer Science or Electrical Engineering from reputed universities, with at least 5 years research experience in related fields. Research and Comprehensive Skills: Independent and self
-
Degree in Computer Science or Electrical Engineering from reputed universities, with at least 5-year research experience in related fields. Research and Comprehensive Skills: Independent and self-motivated
-
with a multidisciplinary team to advance the field of embodied intelligence. Publish high-quality research in top-tier conferences and journals. Qualifications: Ph.D. in Computer Science, Robotics, AI
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
Globally recognized as a leading research and technology organization, the Nanyang Environment and Water Research Institute (NEWRI) addresses national priorities through its diverse expertise in
-
an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to advance translational cancer research within the Cancer Discovery & Regenerative Medicine Programme under Asst
-
Computational Biology, Bioinformatics, or a related field At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration Familiarity with