Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Princeton University
- University of Minnesota
- Nature Careers
- Stanford University
- University of California Berkeley
- University of Florida
- Argonne
- Stony Brook University
- University of Miami
- Yale University
- Duke University
- New York University
- Texas A&M University
- University of Central Florida
- Carnegie Mellon University
- Northeastern University
- Pennsylvania State University
- U.S. Department of Energy (DOE)
- University of Houston Central Campus
- University of Washington
- Virginia Tech
- Wayne State University
- Cornell University
- Emory University
- Oak Ridge National Laboratory
- Rutgers University
- SUNY Polytechnic Institute
- South Dakota Mines
- The Ohio State University
- University of California
- University of Houston
- University of Minnesota Twin Cities
- University of Nevada, Reno
- University of Oklahoma
- University of Texas at Arlington
- University of Texas at Tyler
- Brookhaven Lab
- Brookhaven National Laboratory
- Case Western Reserve University
- Cold Spring Harbor Laboratory
- Genentech
- Georgia State University
- Johns Hopkins University
- Los Alamos National Laboratory
- National Aeronautics and Space Administration (NASA)
- Purdue University
- Rice University
- SUNY University at Buffalo
- The University of Arizona
- The University of North Carolina at Chapel Hill
- University at Buffalo
- University of California Irvine
- University of California, Merced
- University of Cincinnati
- University of Colorado
- University of Denver
- University of Illinois at Chicago
- University of Maryland, Baltimore
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of North Texas at Dallas
- University of Oregon
- University of Virginia
- Zintellect
- 55 more »
- « less
-
Field
-
Biology, Biochemistry, Bioengineering, or related field Skills Deep knowledge in protein engineering and high-throughput selection methods. Experience working with large libraries of protein variants
-
the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
-
outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
-
, including use of scientific libraries (e.g., NumPy, SciPy, scikit-image, PyTorch/TensorFlow). Experience with deep learning or machine learning approaches to image denoising and reconstruction. Prior exposure
-
learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
-
interpretation through deep learning model development using Python and MATLAB. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: developing
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in hand by September 1, 2025. Deep knowledge of functional materials and
-
Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in hand by September 1, 2025. Deep knowledge of functional materials and
-
experience in deep learning frameworks (TensorFlow/PyTorch) Experience with large-scale genomic/proteomic datasets and machine learning applied to biological sequences Knowledge of phylogenetics, protein
-
research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow