Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Texas Rio Grande Valley
- AbbVie
- Nature Careers
- Johns Hopkins University
- University of Michigan
- Genentech
- University of North Carolina at Charlotte
- Northeastern University
- Indiana University
- Carnegie Mellon University
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Cincinnati
- Colorado State University
- Vanderbilt University
- Zintellect
- City of Hope
- George Mason University
- Simons Foundation
- University of Maryland, Baltimore
- Yale University
- Boston College
- Cold Spring Harbor Laboratory
- Emory University
- Korea Institute for Advanced Study
- Medical College of Wisconsin
- Miami University
- Montana State University
- Princeton University
- Simons Foundation/Flatiron Institute
- University of California
- University of Idaho
- University of Kansas Medical Center
- University of Massachusetts
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- University of Rhode Island
- University of Texas at Austin
- Amgen
- Auburn University
- Case Western Reserve University
- Central Michigan University
- Cornell University
- Dana-Farber Cancer Institute
- Embry-Riddle Aeronautical University
- Florida Atlantic University
- Georgetown University
- Lawrence Berkeley National Laboratory - Nuclear Science
- Marquette University
- National Renewable Energy Laboratory NREL
- New York University
- Oklahoma State University
- Open Society Foundations
- Purdue University
- SUNY University at Buffalo
- The University of Iowa
- The University of Memphis
- The University of North Carolina at Chapel Hill
- Tulane University
- University of Maryland
- University of Michigan - Flint
- University of Nebraska–Lincoln
- University of Notre Dame
- University of Oklahoma
- University of San Francisco
- Wayne State University
- 57 more »
- « less
-
Field
-
-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
-
fabricating nanoelectronics and flexible electronics. An extensive experience in cleanroom nanofabrication is required. The postdoc is also expected to collaborate with other researchers to apply
-
-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
-
(CPS) for aquaculture, to sensors and platforms for maritime applications. The Postdoc’s primary task will be to lead the development of algorithm, software, and hardware to extend the current HAUCS
-
collaborative and multidisciplinary environment. For information about the Lamba Lab at Genentech, please go to: https://www.gene.com/scientists/our-scientists/deepak-a-lamba Postdoc Program Elevate your research
-
discovery. This position in particular focuses on sequence-to-function deep genomics modeling, with the goal of developing performant models that make generalizable out-of-distribution predictions
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
-
. https://pai.seas.harvard.edu The postdoc is intended for one year but we anticipate there will be funding to potentially extend it to a second year. The postdoc will receive a generous salary as
-
ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful