Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of children, and prenatal and lactating women. CNRC investigators use a wide range of model systems to unravel the fundamental biology in the broad areas of nutrition, metabolism and development, investigate
-
of children, and prenatal and lactating women. CNRC investigators use a wide range of model systems to unravel the fundamental biology in the broad areas of nutrition, metabolism and development, investigate
-
of children, and prenatal and lactating women. CNRC investigators use a wide range of model systems to unravel the fundamental biology in the broad areas of nutrition, metabolism and development, investigate
-
prenatal and lactating women. CNRC investigators use a wide range of model systems to unravel the fundamental biology in the broad areas of nutrition, metabolism and development, investigate the behavioral
-
orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
-
at a scale few others can match. Connections working at The Ohio State University More Jobs from This Employer https://main.hercjobs.org/jobs/22383548/research-senior-associate-physiology-cell-biology
-
, including the following: Lead the design and execution of computational biology projects, like mechanistic modeling ofvascular-cellular physiology. Expected approaches includebut not limited to mass‑action
-
considered. Required Skills and Abilities: * Expertise in Lung Biology and Inflammation: Strong foundational knowledge of lung physiology, vascular biology, inflammatory pathways, and host-pathogen
-
. Researchers benefit from access to state-of-the-art facilities and specialist expertise, including high-throughput screening, multimodality in vivo imaging, proteomics, integrative physiology, and viral and non
-
sciences. Their work would use artificial intelligence to improve knowledge and outcomes by leveraging and integrating varied relevant data (which may include agronomic, environmental, economic, genomic