Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
) that will make use of various machine learning algorithms for attack vectors and vulnerabilities, such as intrusion detection, malware analysis, spam filters, anomaly detection, etc. Supervised, unsupervised
-
. The intellectual depth, innovation and promise of the candidates for scholarly research are of high priority of this position. Required Qualifications* The candidate should have a PhD in Transportation Engineering
-
in neuroprosthetics. This person will supervise ongoing animal experiments as well as experiments that are part of a related clinical trial. They will assist in mentoring PhD students to perform
-
analysis. Required Qualifications* A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
-
actively seeking enthusiastic and innovative early-career researchers to join our Algorithm Core team. The successful candidate will engage in cutting-edge research in applied mathematics, focusing
-
, file system implementations, I/O, deadlocks, distributed systems, synchronization, distributed file systems, case studies. Graded ABCDE CSC 575 - Algorithm and Complexity Analysis Graduate standing. (4
-
multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
-
screening. Analyze experimental data and manage complex data science projects. Co-author publications and present results at meetings and to funding stakeholders. Required Qualifications* PhD degree and 5
-
of the CJARS data holdings. As a Web Scraping Programmer, you will develop web scraping algorithms and data parsers to collect information from criminal justice agency websites and prepare it for incorporation
-
research initiatives by developing and validating clinical phenotypes (i.e., patient or clinical care attributes derived from multiple EHR data sources using an algorithmic approach with a coding framework