Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Michigan State University
- Simons Foundation
- University of Colorado
- Nanyang Technological University
- Aalborg University
- Albert Einstein College of Medicine (Bronx, NY)
- City of Hope
- Claremont McKenna College
- Indiana University
- Oak Ridge National Laboratory
- Pacific Institute for the Mathematical Sciences
- Sandia National Laboratories
- The University of Texas MD Anderson Cancer Center
- University of Copenhagen
- University of Michigan
- University of Pennsylvania
- 6 more »
- « less
-
Field
-
the Parallel Systems Lab ( https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI workflows
-
statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
-
develop both high-throughput and gene-specific approaches for determining the functional consequences of human genetic variation. Current and developing projects include massively parallel splicing
-
, and reproducible code development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to
-
Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 21 hours ago
stem cells. 2) Functional genomics of noncoding regulatory variation Projects will use massively parallel reporter assays, CRISPR-based screens, and genome editing to test noncoding variants, map
-
environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate
-
team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel
-
cellular endpoints. In parallel, the fellow will perform complementary functional studies to investigate tumor cell state, lineage programs, and therapeutic response. This work will incorporate a broad
-
in-vitro and in-vivo settings (e.g. mouse models) - highly parallel perturbation approaches; CRISPR, shRNA, PROTACs, small molecules We aim to advance: - novel therapeutics; targeted as well as
-
, dynamic-link libraries, SQL, Git or other version-control systems, Linux, high-performance computing, parallel computing, or automated testing Experience with watershed processes, groundwater-surface