Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- AbbVie
- Indiana University
- Northeastern University
- University of Michigan
- Nature Careers
- University of Alabama, Tuscaloosa
- University of North Carolina at Charlotte
- University of Texas at Austin
- Zintellect
- Binghamton University
- Carnegie Mellon University
- Central Michigan University
- Genentech
- Saint Louis University
- Simons Foundation
- University of Rhode Island
- American University
- Arizona State University
- Auburn University
- Colorado State University
- Cornell University
- Emory University
- George Mason University
- Georgetown University
- James Madison University
- Johns Hopkins University
- Marquette University
- Montana State University
- National Renewable Energy Laboratory NREL
- SUNY University at Buffalo
- The University of Alabama
- Tufts University
- University of Cincinnati
- University of Kansas Medical Center
- University of Maryland
- University of Michigan - Ann Arbor
- University of New England
- 28 more »
- « less
-
Field
-
biological data, with the goal of creating scientifically interpretable machine learning models. MAJ Nikesh Kapadia, USA Kapadia joined DARPA in August 2024. He is an Army Operations Research/Systems Analysis
-
researchers and graduate students. Required Knowledge, Skills and Abilities AI/ML Expertise: Strong knowledge of advanced machine learning, deep learning, and AI techniques. Programming Skills: Proficiency in
-
, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
-
pathology on computational, molecular, cellular, preclinical and translational levels. A spectrum of scientific methods includes state-of-the-art multi-omics approaches, machine learning and implementation
-
ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful
-
. Research focuses on analysis of chronic musculoskeletal pain using rodent models of knee joint and low back pain. Learning opportunities for behavioral analysis including machine learning techniques
-
undergraduate programs (BS through PhD). The College has seven academic programs that are externally accredited and is home to more than 1,900 undergraduate and 950 graduate students and approximately 140 faculty
-
The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral fellow focused on research in social neuroscience, computer science
-
, such as Seurat and Scanpy. Experience with machine learning models, such as transformer and diffusion models. Strong written and oral communication skills. Modes of Work Positions that are eligible
-
. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a