Sort by
Refine Your Search
-
to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
-
will bridge data, operations, and policy to integrate forest-management realities with the use of biochar technology as a wildfire mitigant and ultimately provide analysis to its economic feasibility
-
responsibilities include: (1) Conduct computational methods development and analysis for systems-level understanding of host-immune responses to diseases. (2) Collaborate effectively with a team of multidisciplinary
-
the precise gene activity and cell-cell interaction between the developing embryo and maternal endometrium. This work addresses a critical factor in human reproduction, as implantation failure remains a major
-
on The PRIDE Study (pridestudy.org (link is external) ) or biological mechanisms of stress including epigenetics. Research opportunities will include collaboration on projects, data analysis, interpretation, and
-
philanthropy. Lead in-depth case studies of community-led conservation, with extensive fieldwork in Mexico, including data collection and analysis. Coordinate and contribute to data analysis across case studies
-
developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
-
processing and EF, does one factor or multiple independent factors contribute to differences in reading ability? Are measures of visual processing and EF useful additions to conventional dyslexia screening in
-
analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
-
culture and differentiation of human pluripotent stem cells (ESCs or iPSCs). · Strong experimental skills in molecular and cellular biology, including techniques such as RNA/protein expression analysis