Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
impactful system capable of reconstructing the 3D fetal aortic arch from routine 2D ultrasound views by combining generative modelling, deep learning, and rigorous clinical validation. Working within a
-
the form of papers, posters or oral presentations Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow Downloading a copy of our Job Description Full details
-
in digital health, fitness, and rehabilitation. Preferred Qualifications Background in machine learning/deep learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL
-
lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
-
/deep learning with GWAS/sequencing data and other types of omic data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include
-
sponsorship. *Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
-
sponsorship. *Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
-
Laboratory (TNEL) in the University of Minnesota Department of Psychiatry has an NIH-funded opening for a post-PhD scholar at the intersection of neuroscience, brain stimulation, and behavior. Our laboratory