-
. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
-
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
-
Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
-
designs and methods, clinical trial methods, Bayesian methods, and developing R packages and scalable algorithms. Opportunities for collaboration across the Department of Biostatistics and the Medical
-
control strategies. Develop and implement advanced control algorithms for real-time operation and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in
-
, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced
-
of reagents and supplies; optimize ordering and project scheduling to meet service expectations. Monitor instrument performance, oversee routine maintenance, and coordinate vendor support. Uphold SOPs, aseptic
-
to the postdoctoral candidate. Participate and lead all aspects of the clinical trial research, including subject recruitment, scheduling, data collection, processing, and data dissemination. Ensure that all