486 systems-science "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
to maintain excellence in research in mathematics and computer science. Skilled research staff working at this frontier research field is an essential human resource towards generating new knowledge and
-
systems (MPS) and vascularized organoid platforms to model solid-tumour biology and therapy response. This position will support a project to develop and validate a colon cancer model, a kit-ready
-
, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and
-
understanding of emerging infections through world-class research that integrates immunology, infection biology, pathogen genomics, and computational approaches. This integration drives comprehensive studies
-
Posting Start Date: 23/03/2026 Job Description The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking multiple determined full-time Research Fellow
-
, Bioengineering, Applied Physics, Engineering Physics/Science, or related field. Hands-on experience in microfluidics, MEMS, biosensing, or bioreactor design. Knowledge of cell culture systems, organoids, or tissue
-
● PhD (or Master’s with strong relevant experience) in Bioinformatics or a related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology
-
faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge
-
invites applications for a Research Fellow to play a key role in advancing translational projects in molecular and spatial biology. This full-time research role is ideal for early-career researcher seeking
-
enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker