Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
funding. Responsibilities Application of Domain Expertise Fully understands the role within the research domain and working toward advanced proficiency in the underlying science, math, statistics, data
-
advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/ .Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging
-
be responsible for analyzing this information in order to identify trends, discover potential inefficiencies, and recommend solutions for process improvements, workflow adjustments, and data
-
positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-MOL-00001 PI275311206
-
contact information for three references; No letters of recommendation are required at this time. Applications will be reviewed based on curricular need, and the Department may not review all applications
-
) provides additional details on the fellowships, eligibility, disciplines, and application dossier, and we recommend that applicants review this information before submitting an application. Appointed as
-
or ANSYS Fluent; fabricate particle sorting devices in cleanroom. Set up microfluidic imaging system, run particle sorting experiments, analyze fluorescence image data and evaluate performance metrics
-
the courses they wish to teach 4. Two recent teaching evaluations 5. Complete contact information for two additional professional references (to be submitted by applicant) These positions are subject to the
-
advanced proficiency in the underlying science, math, statistics, data analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton’s world-class researchers
-
outstanding data management skills, strong programming skills, and substantive interests in policy effects on life outcomes in general and the effects of COVID mitigation policies in particular. Familiarity