Sort by
Refine Your Search
-
Country
-
Employer
- Harvard University
- CIC bioGUNE
- Carnegie Mellon University
- NTNU Norwegian University of Science and Technology
- Oden Institute for Computational Engineering and Sciences
- The University of Texas MD Anderson Cancer Center
- UCL;
- University of Aberdeen;
- University of Cambridge
- University of Michigan
- Zintellect
- 1 more »
- « less
-
Field
-
Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
collaborative research environment that combines expertise in genomics, computational biology, and evolutionary genetics. Research Responsibilities The successful candidate will: Develop and optimize ancient DNA
-
. The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors, which will in turn be used to engineer highly specialized neuronal subtypes
-
Across Cellular, Molecular and Functional Dimensions." The project aims to generate the first comprehensive cellular, molecular and functional atlas of the developing human fetal choroid plexus. Combining
-
handling high-dimensional, single cell or spatial data. Interest in interdisciplinary work combining AI and cancer biology. Proven track record of scientific publication. Demonstrated experience in
-
Apply Now How to Apply Applicants must submit a CV, cover letter, and writing sample to be considered. Please combine all materials into a single document. The cover letter should explain your
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
-
data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab
-
required for genome assembly and pangenomes using a combination of short- and long-read technology, including chromosome confirmation capture sequences. Developing genome annotation pipelines from existing
-
The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
cancers (Dentro et al., Cell 2021), the evolutionary history of cancer (Gerstung et al., Nature 2020), biallelic mutations in cancer genomes (Demeulemeester et al., Nature Genetics 2022), combined DNA
-
data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab