Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Michigan
- Zintellect
- Carnegie Mellon University
- Center for Drug Evaluation and Research (CDER)
- Nature Careers
- Northeastern University
- Indiana University
- University of Maryland, Baltimore
- Center for Devices and Radiological Health (CDRH)
- City of Hope
- Johns Hopkins University
- University of North Carolina at Charlotte
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Cornell University
- Dana-Farber Cancer Institute
- Drexel University
- Florida Atlantic University
- New York University
- University of California
- University of California, San Francisco
- University of Houston
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of Texas at Austin
- 16 more »
- « less
-
Field
-
Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 13 days ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
-
learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
-
. Developing and applying state‑of‑the‑art artificial intelligence and machine learning (AI/ML) algorithms to discover robust prognostic and predictive biomarkers, and design clinically actionable treatment
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 5 hours ago
. Publication record demonstrating quantitative genomics or evolutionary analysis. Interest in developing and leading research on new model systems. Duties and Responsibilities A Postdoctoral Fellow (""postdoc
-
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited
-
understanding the intricacies of plant chemistry and biology. Research in the Nett lab spans multiple, distinct projects that are all unified by the chemistry of plants, including: 1) evolutionary and biochemical
-
field. Our work will be at the intersection of stem cell, developmental, and evolutionary biology, so we are particularly interested in candidates with a strong research background in: -Embryonic stem
-
computational tools and algorithms, including emerging AI/ML based approaches, for genome annotation, comparative genomics, and multi-omics analyses, with particular attention to the challenges of complex
-
development of transparent, closed-loop control system for individualized diuretic closing including the validation and advancement of machine-learning and control algorithms, building production-oriented
-
, Insect Ecology, Evolutionary Biology, Molecular Biology, Genetics, Bioinformatics, or a closely related field). Degree must have been received within the past five years, or be pursuing and anticipated