Sort by
Refine Your Search
-
Listed
-
Employer
- Simons Foundation/Flatiron Institute
- Nature Careers
- Northeastern University
- Harvard University
- Boston College
- Carnegie Mellon University
- The University of Alabama
- Boston University
- Genentech
- George Mason University
- Indiana University
- Oak Ridge National Laboratory
- Stanford University
- University of Alabama, Tuscaloosa
- University of Maryland, Baltimore
- University of Michigan
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- Zintellect
- 9 more »
- « less
-
Field
-
Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
-
Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
-
Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
Develop and implement novel AI models and learning algorithms for multimodal and generative modeling. Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving
-
the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds in applied and computational
-
, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated
-
. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
-
only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of
-
, scientific computation, scientific software and algorithm development, mathematical modeling, data analysis and inference, and image analysis Ability to do original and outstanding research in computational
-
& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software