Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Michigan State University
- Simons Foundation
- Nanyang Technological University
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Colorado
- University of Sheffield
- University of Surrey
- Aalborg University
- Albert Einstein College of Medicine (Bronx, NY)
- City of Hope
- Claremont McKenna College
- EMBL
- Indiana University
- Karolinska Institutet (KI)
- Mathjobs.org
- OSU
- Oak Ridge National Laboratory
- Pacific Institute for the Mathematical Sciences
- Queen's University Belfast
- Sandia National Laboratories
- Singapore Institute of Technology
- The Ohio State University
- The University of Texas MD Anderson Cancer Center
- University College London
- University of Copenhagen
- University of Michigan
- University of Pennsylvania
- embl
- 19 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 12 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
-
density functional theory. Refereed publications in these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel
-
parallel research undertaken in both 5G+ and 6G for 2030+. About you Strong research expertise in one or more areas directly relevant to ISAC, such as channel modelling, radar/sensing signal processing, MIMO