Sort by
Refine Your Search
-
] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
-
at our web sites, http://www.ilr.cornell.edu . Required Qualifications: PhD in Industrial Relations, Public Policy, Sociology, Political Science, Management, City and Regional Planning, or a closely
-
meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in health and well-being
-
and microbiome data science. Responsibilities will include laboratory bench work, establishment and maintenance of experiments in field and greenhouse settings, data analysis, computer and server
-
, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development, quantitative psychology, or a related area. Strong background/interests in
-
, United States of America [map ] Subject Areas: Engineering / Electrical and Computer Engineering Information Science Human Centered Design Computer Science / Human-Computer Interaction Fiber Science / Textile Salary
-
Requirements PhD in Microbiology or related field Required skills Substantial experience with microbiome data analyses Ability to write code in R and Python Proficiency in bioinformatic/computational/statistical
-
Postdoctoral Associate in Soil Microbiome Science- Soil Carbon Dynamics Postdoctoral Associate in Soil Microbiome Science- Soil Carbon Dynamics Department of Soil and Crop Sciences The College
-
. Model, communicate, and champion the Lab’s values and culture. Requirements PhD in (quantitative) ecology or biology, applied statistics, or a related field with strong background in data science
-
and Reporting 25% Requirements PhD in data science, database management, computer science, ecology, wildlife biology, conservation biology, natural resources, statistics, or related subjects. Strong