Sort by
Refine Your Search
-
Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
-
, engineering, physics, or similar fields by the expected start date. Additional Qualifications Applicant should ideally have some experience in electric power systems, artificial intelligence, and optimization
-
datasets as well as optimally leveraging integration with existing genomics datasets. The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused
-
Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
-
, network telemetry, network security, network compression methods, and optimizing network performance for machine learning applications. The ideal candidate will be interested in both building real systems
-
, network telemetry, network security, network compression methods, and optimizing network performance for machine learning applications. The ideal candidate will be interested in both building real systems
-
that can be easily swapped or adjusted to optimize sensing for different environments and use cases. Preferred start date as soon as possible but flexible. Documents should include a full CV, cover letter
-
secondary research intended to refine the definition of people-centered care, measure the status of people-centered across different settings, identify optimal measurement approaches, and examine the
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
secondary research intended to refine the definition of people-centered care, measure the status of people-centered across different settings, identify optimal measurement approaches, and examine the