Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Northeastern University
- Carnegie Mellon University
- Johns Hopkins University
- University of Maryland, Baltimore
- University of Michigan
- Boston University
- City of Hope
- Cornell University
- Dana-Farber Cancer Institute
- George Mason University
- Nature Careers
- Oak Ridge National Laboratory
- University of Alabama, Tuscaloosa
- University of California, San Francisco
- University of Houston
- University of North Carolina at Chapel Hill
- Zintellect
- 8 more »
- « less
-
Field
-
of Computation Group, seeks applicants for a postdoctoral fellowship to conduct research in differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic
-
: https://www.nathlab.org As a successful candidate, you will: Collaborate closely with experimental scientists, mathematicians, and medical oncologists/surgeons to plan, design, and execute computational
-
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
-
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
-
. Expertise is required or highly desired in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired
-
(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
-
. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis
-
. - Contribute to the development of risk-prediction tools, biomarker panels, and precision-medicine algorithms. - Participate in NIH-funded translational studies involving spatial multi-omics, proteomics
-
quantum spectroscopy, sensing, photonics, semiconductor quantum optics, quantum materials, and quantum algorithms. Postdoctoral Fellows will collaborate with at least one QRI Fellow Mentor. Eligibility
-
progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and