Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Stanford University
- New York University
- Cornell University
- Loyola University
- Brookhaven Lab
- Princeton University
- Bowdoin College
- Argonne
- Duke University
- Nature Careers
- University of North Carolina at Chapel Hill
- Medical College of Wisconsin
- Rutgers University
- Yale University
- Stony Brook University
- Oak Ridge National Laboratory
- Carnegie Mellon University
- National Renewable Energy Laboratory NREL
- Texas A&M University
- The Ohio State University
- The University of Arizona
- University of Texas at Arlington
- Northeastern University
- SUNY University at Buffalo
- University of Kentucky
- University of Minnesota
- Georgia Southern University
- University of Nevada Las Vegas
- University of South Carolina
- Villanova University
- Virginia Tech
- Baylor College of Medicine
- Pennsylvania State University
- University of Maine
- University of Maryland
- University of Miami
- University of Texas at Dallas
- University of Virginia
- Brookhaven National Laboratory
- Cold Spring Harbor Laboratory
- Illinois Institute of Technology
- Purdue University
- The University of Iowa
- University of California Berkeley
- University of Central Florida
- University of Colorado
- University of Connecticut
- University of Florida
- University of Nebraska Medical Center
- University of North Texas at Dallas
- University of Oregon
- Auburn University
- Baylor University
- Binghamton University
- Boston University
- Case Western Reserve University
- East Carolina University
- Emory University
- Georgia State University
- Harvard University
- Johns Hopkins University
- Los Alamos National Laboratory
- Syracuse University
- Texas A&M AgriLife
- The University of Chicago
- The University of Memphis
- University of Arkansas
- University of California, Merced
- University of Cincinnati
- University of Kansas Medical Center
- University of Massachusetts
- University of Nevada, Reno
- University of Pittsburgh
- University of Southern California
- University of Southern Mississippi
- University of St. Thomas
- University of Washington
- Vanderbilt University
- Washington State University
- Washington University in St. Louis
- William and Mary
- 71 more »
- « less
-
Field
-
research to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine
-
, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
-
and/or Work Experience M.D. or PhD Required Qualifications M.D. or PhD Required Certificates/Credentials/Licenses M.D. or PhD Required Computer Skills N/A Supervisory Responsibilities Yes Required
-
provides robust learning experiences related to the science and application of HEOR, including cost studies, data analytics, economic models, real-world evidence, services utilization analysis, systematic
-
will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
-
. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
-
to preventive interventions, decision support to implement mental health interventions, longitudinal data analysis, machine learning/NLP/AI, integrative data analysis, and related grant writing. This candidate
-
QUALIFICATIONS Education: PhD or Doctorate degree Medicine (MD) required Experience: No previous experience required Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies
-
training and research. MINIMUM QUALIFICATIONS PhD in neuroscience, neurobiology, machine learning, biomedical engineering, or related field. Demonstrated experience independently executing all phases of a
-
critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale