Sort by
Refine Your Search
-
Listed
-
Employer
- Cornell University
- South Dakota Mines
- University of Maryland, Baltimore
- Argonne
- Carnegie Mellon University
- Nature Careers
- Brookhaven Lab
- SUNY University at Buffalo
- The University of Iowa
- University of California Berkeley
- University of Florida
- University of Nevada, Reno
- University of Texas at Austin
- University of Virginia
- Yale University
- 5 more »
- « less
-
Field
-
is an Equal Opportunity Employer. South Dakota Mines and the Board of Regents ensures that all employment practices are free of discrimination. Contact Information
-
Job Description The postdoc scholar will participate in several research projects currently funded by the Pl. Including multi-center projects to develop various machine data mining models including
-
Postdoctoral position Posting Date: 7/29/2024 Yale School of Medicine Department of Emergency Medicine The Data Mining (DM) Lab at Yale University lead by Dr. Samah Fodeh has an opening for a
-
questions and hypotheses, mine software repositories data, build statistical models, develop methods for linking scientific software to the scientific outut it helps to produce, and write up and present
-
, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
-
will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and engaging
-
moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
-
graph mining and machine learning with a preferred focus on neural network based data modeling and anomaly detection. Background in graph theory, graph learning/inference, and graph mining. PhD must have
-
, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as
-
weather instrumentation data analysis (lidar, radar, weather station, radiometer, sonde, cameras) Experience with mining and cleaning “big” observational data and/or online databases Experience with