Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, cancer biology, neurobiology, stem cell biology, and related fields. Research interests that integrate modern experimental biology, including genome engineering and single cell biology, with emerging
-
investigating disease mechanisms and the effects of novel therapeutic compounds using human induced pluripotent stem cell (iPSC)-derived neuronal models. The post holder will be responsible for planning and
-
Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 15 hours ago
publications: Nature Communications: 2025 , 16:1762; 2024 , 15:627, 137; 2021 , 12:3371; 2017 , 8:1823; 2014 , 5:5218 Nature Metabolism: 2022 , 4:1830 Cell Stem Cell: 2023 , 30:1520 J Clin Invest: 2023 , 133
-
pancreatic diseases. We combine human tissue resources, stem cell and organoid models, advanced microscopy, and computational approaches to address these questions. The laboratory is located at the Department
-
Research Infrastructure? No Offer Description The Cancer Stem Cells and Fibroinflammatory Microenvironment Group is looking for a candidate for a CAM Synergy Project Our group is based at the Instituto de
-
stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
-
engineering, bioengineering, neuroscience, cell biology, electrical engineering, or a related field. Hands-on experience with mammalian cell culture, preferably neuronal or stem-cell-derived cultures
-
Parkinson’s disease. Central to this effort are CRISPR screens that identify genes that make neurons more vulnerable or resilient to stress. These screens will use human induced pluripotent stem cell (iPSC
-
Details Title Postdoctoral Fellow-Computational Biologist School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Position Description The Arlotta lab, in
-
screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse