Sort by
Refine Your Search
-
Listed
-
Employer
- University of Michigan
- Johns Hopkins University
- University of Michigan - Ann Arbor
- Zintellect
- Harvard University
- University of Texas Rio Grande Valley
- University of Texas at Austin
- Carnegie Mellon University
- Colorado State University
- Bowdoin College
- Princeton University
- University of Cincinnati
- Cornell University
- Dana-Farber Cancer Institute
- Florida Atlantic University
- George Mason University
- Georgetown University
- New York University
- Open Society Foundations
- University of Arkansas
- University of California Los Angeles
- University of Idaho
- American University
- Boston College
- Central Michigan University
- City of Hope
- East Tennessee State University
- Florida International University
- Harvard Law School
- James Madison University
- Lawrence Berkeley National Laboratory - Nuclear Science
- Miami University
- Morgan State University
- Nature Careers
- Northeastern University
- Purdue University
- Rutgers University
- Saint Louis University
- Stanford University
- University of Alabama, Tuscaloosa
- University of California
- University of Colorado
- University of Houston Central Campus
- University of Maryland
- University of Michigan - Flint
- University of Nebraska–Lincoln
- University of North Carolina at Charlotte
- University of Oklahoma
- University of Pennsylvania
- University of Wisconsin-Madison
- 40 more »
- « less
-
Field
-
large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and
-
models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
-
Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
-
epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
-
in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
-
sensors will be designed, modeled, fabricated, and fully packaged for deployment. Sensor performance will be measured in the lab and new techniques will be developed to characterize performance for inertial
-
and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More
-
models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
-
language models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex
-
from patients and mouse models Technique: Cell culture including 2D and 3D format, protein, RNA and gDNA extraction from cells and tumor tissue, western blot, qPCR, immunofluorescence microscopy