48 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at University of Michigan in United States
Sort by
Refine Your Search
-
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
-
. Job Summary Weil Institute Postdoctoral Data Scientist Role Description The Weil Institute is in search of a Postdoctoral Fellow to develop predictive analytics that will help improve the treatment
-
applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better
-
methodology development as well as applied cancer bioinformatics in a variety of disease sites, including the incorporation of statistical, machine learning & QML ideas. Multiple collaborative opportunities
-
development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
-
research and development. Our team seeks a highly motivated Oligonucleotide Synthesis Chemist Postdoctoral Research Fellow to be part of building our dynamic, collaborative, and service-oriented core
-
at developing quantitative, image-based biomarkers for the lower urinary tract including shear wave elastography, magnetic resonance (MR) elastography, MR Fingerprinting, and contrast-enhanced ultrasound (CEUS
-
develop AI models to predict and study the tumor evolution and lineages using the multiomic measurements from both bulk, single-cell, and spatial technologies. The lab emphasizes understanding