Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Carnegie Mellon University
- Northeastern University
- Oak Ridge National Laboratory
- Texas A&M University
- Rutgers University
- Bowdoin College
- Baylor University
- National Renewable Energy Laboratory NREL
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- The University of Arizona
- Cornell University
- Princeton University
- Georgia Southern University
- Stanford University
- University of Nevada, Reno
- University of Oxford
- DePaul University
- U.S. Department of Energy (DOE)
- University of Nevada Las Vegas
- University of Texas at Dallas
- ;
- Stony Brook University
- Texas A&M AgriLife Extension
- University of Maine
- William and Mary
- Aalborg University
- Aarhus University
- ETH Zurich
- European Space Agency
- INSAIT - The Institute for Computer Science
- King Abdullah University of Science and Technology
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- SciLifeLab
- Texas A&m Engineering
- Umeå University
- University of Antwerp
- University of Cincinnati
- University of Lund
- Argonne
- Brookhaven Lab
- California Institute of Technology
- Chongqing University
- DURHAM UNIVERSITY
- Duke University
- Durham University
- Genentech
- Harvard University
- Heidelberg University
- Heriot Watt University
- LIGO Laboratory
- Linnaeus University
- Louisiana State University
- Medical College of Wisconsin
- Missouri University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- North Carolina A&T State University
- Pennsylvania State University
- Texas A&M AgriLife
- The University of South Dakota
- UNIVERSITY OF HELSINKI
- University of Arkansas
- University of Central Florida
- University of Delaware
- University of Illinois - Chicago
- University of Kansas Medical Center
- University of Liverpool
- University of Miami
- University of Minnesota
- University of Newcastle
- University of Southern California
- University of Southern California (USC)
- University of Southern Denmark
- University of Sydney
- University of Texas at Arlington
- University of Virginia
- University of the Pacific
- Virginia Tech
- Yale University
- 74 more »
- « less
-
Field
-
. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and modeling. Experience in grant proposal writing within a collaborative environment
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
-
be considered. You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and
-
The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
-
of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
-
; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL
-
accelerate translational research. Build or leverage novel artificial intelligence and machine learning (AI/ML) techniques for advanced liquid biopsy (ctDNA) and tissue transcriptomic (RNA-seq) data to predict
-
, the research group has a strong program in the synthesis and application of chemical probes in complex biological systems, with an emphasis on measuring probe labeling and phenotype-driven cell selection using
-
for adaptation to sea level rise along the Maine coast. This 18-month grant-funded position will be supported in partnership with Maine Coastal Program (MCP), Maine Geological Survey (MGS), and faculty from
-
understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI