59 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" Fellowship research jobs at University of Michigan
Sort by
Refine Your Search
-
of QRI Fellow Mentors can be found here: https://quantum.umich.edu/fellows/. Open to all quantum science and technology disciplines, including spectroscopy, photonics, devices, sensing, computation
-
references.. The Michigan Neuroscience Institute is an inclusive workplace that encourages individuals from diverse backgrounds and with diverse experiences to apply. Please visit: https://medicine.umich.edu
-
professor of architecture, you will work on the development of novel machine-knitted materials towards the innovation and performance of footwear and apparel. The AMSI is a groundbreaking partnership
-
Apply Now Job Summary An exciting opportunity has been created for an experienced researcher to join the Alumkal Laboratory (https://alumkal.lab.medicine.umich.edu/ ) at the U of M Division of Heme
-
systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
-
molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu Mission Statement Michigan Medicine improves
-
development of transparent, closed-loop control system for individualized diuretic closing including the validation and advancement of machine-learning and control algorithms, building production-oriented
-
, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
-
research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
-
automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab