Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- Zintellect
- University of Michigan
- Carnegie Mellon University
- Nature Careers
- Center for Drug Evaluation and Research (CDER)
- Northeastern University
- Indiana University
- University of Maryland, Baltimore
- University of North Carolina at Charlotte
- Center for Devices and Radiological Health (CDRH)
- City of Hope
- Johns Hopkins University
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Cornell University
- Dana-Farber Cancer Institute
- Drexel University
- Florida Atlantic University
- New York University
- The University of Alabama
- University of California
- University of California, San Francisco
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of Texas at Austin
- 16 more »
- « less
-
Field
-
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
-
: Conduct field and laboratory activities relating to evolutionary genetics including, but not limited to, sampling, collecting trait data, and extracting nucleic acids from samples. Conduct data analysis
-
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
-
. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework. This includes developing the sensors, sensing robotic
-
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
-
is interested in understanding the neural and algorithmic basis of sensory-guided behaviors in terrestrial animals. We have developed behavioral tasks in mice using stimuli and situations
-
Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field. Strong coding/computing skills. Familiarity or strong interest in the analysis of pathogen genomic
-
, 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