Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be
-
., machine learning). Experience working with large-scale environmental and remotely-sensed datasets, strong proficiency in R and version control tools (such as GitHub), and familiarity with high-performance
-
, and/or service, to the multiplicity and excellence of the academic community. Required Qualifications* This position requires a PhD or MD/PhD degree in Electrical, Biomedical or Computer Engineering
-
, etc.). Required Qualifications* PhD in medical physics, nuclear engineering or other engineering or physics disciplines. Applicants with medical degrees with relevant experience will also be considered
-
. Mentor and guide a team of PhD, MS, and undergraduate students contributing to software development projects. Required Qualifications* Bachelor's degree in computer science, electrical/computer engineering
-
, and reproducibility of results Independently conducting appropriate data management and analysis Conducting computer programming as needed for completion of other tasks Preparing and maintaining
-
Qualifications* Bachelor's degree in science or business Desired Qualifications* Master's Degree in Business Administration PhD, MD, MBBS in medicine or life science 1-2 years of experience in healthcare or life
-
that includes full time staff, temporary staff, and PhD, Master's and undergraduate-level students. The Mental Health Improvement through Community Colleges (MHICC) initiative is looking for a Research Area
-
technology. The school was one of the first iSchools in the nation and our interdisciplinary faculty spans such areas as data science, computational social science, human-computer interaction, social media
-
research in linking wire arc additive manufacturing processes to material performance, requiring a high level of expertise in both experimental characterization and machine learning development. Bridge