Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, but are not limited to, numerical analysis and scientific computing; differential equations and mathematical modeling; inverse problems and control; and stochastic methods. We particularly welcome
-
t0.technology | 2 months ago
-time backends); Algorithmic inference and analysis pipelines (map making, inverse problems, estimation and uncertainty quantification, analysis close to raw data); Applied array processing for
-
the technical approach, explore AI-assisted inverse design and lead publications. Integration into a working sensor prototype will be a shared effort with the PI, PhD researchers and technical staff
-
inverse problems Expertise in sensitivity analysis and uncertainty quantification for digital twins Enjoyment of scientific work and working with students Independent and autonomous working style
-
. Potential research topics include: Operator learning Gradient flows Convex analysis Functional analysis Inverse problems Neural operators Transformers Applicants are not expected to have expertise in all
-
Mathjobs.org | 28 days ago
in inverse problems, with emphasis on analytical foundations and applications to medical imaging and remote sensing. Successful candidates should have research interests complementing or intersecting
-
in inverse problems, with emphasis on analytical foundations and applications to medical imaging and remote sensing. Successful candidates should have research interests complementing or intersecting
-
coupled or standalone configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific
-
will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working knowledge in most of the following topics
-
desirable): Autonomous laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to