Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Susquehanna International Group
- The University of Iowa
- Duke University
- Nature Careers
- Purdue University
- Cornell University
- University of Massachusetts Medical School
- University of Utah
- Georgetown University
- Carnegie Mellon University
- The Ohio State University
- University of Florida
- University of Pittsburgh
- Virginia Tech
- Brookhaven Lab
- Drexel University
- Harvard University
- Michigan State University
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- The University of Chicago
- University of Alabama at Birmingham
- University of Alabama, Tuscaloosa
- University of California Irvine
- University of California, Berkeley
- University of Idaho
- University of Louisville
- University of Maryland, Baltimore
- University of Minnesota
- University of Oregon
- University of Southern California
- University of Southern California (USC)
- University of Texas at Austin
- 23 more »
- « less
-
Field
-
collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems
-
, validate, and refine high-fidelity 3D models of blood flow and vessel geometry using industry-standard CFD software. Analyze simulation results to provide actionable recommendations for design improvements
-
strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives
-
core facilities. These shared resources enable high-resolution, high-throughput analysis of tissue samples from both mouse models and human cohorts. Our lab culture is centered on intellectual curiosity
-
research and real-world impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on
-
Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
-
postdoctoral fellow interested in gaining training and experience in disease modelling and transnational science. The successful candidate will lead collaborative efforts among basic and clinical researchers and
-
Classification Title: Post Doc Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science or a related field. Working experience with large language models
-
- and post-operative management and assessment of animals after transplant (micro)surgical procedures. Experience with mouse models of survival surgery is necessary. For appropriately qualified candidates
-
; radiopharmaceutical dosimetry with novel agents and/or software techniques; alpha particle RPT radiation biology modeling and analysis of clinical trial data. For additional information on a subset of expected