Sort by
Refine Your Search
-
, interdisciplinary research environment at UBC, with access to high-performance computing resources and high-quality omics datasets. The position offers opportunities to work closely with experimental and
-
. This role focuses on developing and applying AI and deep learning techniques for analyzing high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects
-
, selection, and clonal dynamics, using high-throughput sequencing and systems-level analysis. Work on the engineering and functional assessment of synthetic or ex vivo thymic environments to control immune
-
Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
-
and in vivo models. Characterize and modulate the T-cell receptor (TCR) repertoire, including repertoire diversity, selection, and clonal dynamics, using high-throughput sequencing and systems-level
-
high-dimensional omics data, identifying predictive biomarkers, and understanding cancer heterogeneity. Projects include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics
-
Physics , Gravitational Theory , Gravitational Wave Sources , Gravitational Waves , Gravity , hep-ph , HEP-Phenomenology (hep-ph) , hep-th , HEP-Theory (hep-th) , High Energy Physics , High Energy Theory
-
high-resolution imaging. Characterize tissue- and cell-specific RNA dynamics to inform the design of optimized RNA constructs. Contribute to the preclinical development of local gene-editing strategies