31 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Fellowship research jobs at University of Michigan
Sort by
Refine Your Search
-
in the position and outline skills and experience that directly relate to this position. Job Summary The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine
-
. 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
-
Apply Now Job Summary The hired postdoctoral researcher will perform independent and directed research to achieve the objectives of the research project within the Department of Computational
-
to understanding skin and rheumatic diseases. Our laboratories have a specific focus on investigating the effects of age, genetics, biological sex and ancestry on the immune system and on treatment responses in
-
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
-
environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
-
profession. Work at Michigan and become a victor for the greater good. Responsibilities* Support the organization and annotation for our large scale genetic and genomic data cohort Quality-check biomedical
-
Apply Now How to Apply Applicants must submit TWO separate applications: one to the President's Postdoctoral Fellowship Program (PPFP) site (http://presidentspostdoc.umich.edu/ppfp-application.php
-
that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
-
interdisciplinary lab focuses on investigating genetic and epigenetic changes in traumatic brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic