40 parallel-processing-"Flow-Analysis-and-simulation-Team" Postdoctoral positions at Purdue University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
defense industrial base in areas including advanced packaging, heterogeneous integration, microelectronics test and characterization, modeling and simulation, and extreme-environment electronics. PML's
-
programming, robust optimization, or simulation; statistical data analysis and quantitative modeling; Python and modern scientific/data-analysis workflows; Proven record of experience in analysis of
-
optimization, intelligent runtime systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization
-
and broadly interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate
-
improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc
-
methodologies and data analysis. Ability to work independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working
-
assays, imaging/flow cytometry-based uptake assays, and evaluation of nanocarrier stability and biological compatibility under simulated gastrointestinal conditions. We provide: Salary and health
-
assays, imaging/flow cytometry-based uptake assays, and evaluation of nanocarrier stability and biological compatibility under simulated gastrointestinal conditions. We provide: Salary and health
-
, social and professional norms, and more. Our team will systematically examine how these neglected safeguards protect both civic and economic freedoms and expand awareness of their role in doing so for both
-
biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine learning applications in biomedical