16 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM"-"IFM" Fellowship positions at University of Texas at Austin
Sort by
Refine Your Search
-
Job Posting Title: Postdoctoral Research Fellow, Department of Information, Risk, and Operations Management ---- Hiring Department: Department of Information, Risk, and Operations Management
-
Qualifications Experience with field experiments, applied microeconomics (education, housing, labor), administrative data, or AI/machine learning applications in social science research. Salary Range $75,000
-
sustained research trajectory in addiction health services research and policy evaluation. Responsibilities Design and execute advanced quantitative analyses using large secondary administrative health data
-
research described above. Data collection, data curation, data organization and data analysis, bioinformatic analysis, run computational pipelines, survey literature. Properly document lab notebooks
-
mechanical hazards Lifting and moving Required Materials Resume/CV Letter of interest 3 work references with their contact information; at least one reference should be from a supervisor Important for
-
references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You
-
of bacteria, isolation of RNA and DNA, PCR, RT-qPCR, reporter assays, protein expression and purification, in vitro mutagenesis, and RNA sequencing and data analysis. Provide instruction, assistance and
-
information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your
-
Conduct experiments to evaluate membrane ion–ion separation performance. Maintain accurate experimental records and prepare data for publications and presentations. Work effectively in a collaborative, team
-
microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and