524 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Title: Associate or Senior Editor, Nature Communications (Computational Social Science) Location: New York, Jersey City, Philadelphia, Madrid, Shanghai, Pune or Delhi Closing date: January 30th
-
with a world-class research program, in the school(s) and department(s) best suiting the candidate. Looking for a dynamic individual to join our faculty and lead efforts in this rapidly evolving field
-
The Department of Bioengineering at Stanford University (https://bioengineering.stanford.edu ) and the Arc Institute (https://arcinstitute.org ) invite applications for a faculty position at the
-
benefit from participation in the UT Southwestern Postdoctoral Training Program. Information on our postdoctoral training program, benefits and a virtual tour can be found at http://www.utsouthwestern.edu
-
software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
-
advantageous to complement the existing expertise in genome editing techniques and disease mechanisms across all organs. The selected candidate will develop and maintain a thriving independent research program
-
research, and a passion to pursue fundamental questions in basic neuroscience or technology development using cellular, animal, human, and/or computational models. We especially encourage applications from
-
technology and innovation. Home to the Wall of Wind and Institute of Environment, FIU stands at the forefront of discovery and innovation. With a focus on student success, economic mobility and community
-
cytometry, non-invasive whole animal imaging, spatial transcriptomics and mass spectrometry, gnotobiotic research, advanced genomics, proteomics, and metabolomics, and high-performance computing. Candidate
-
NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess