This is a current listing of job announcements related to Statistics. To submit a job for posting please use the Statistics Job Submission Form. Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make a correction regarding your job announcement, please contact jobs@stat.ufl.edu.
Postdoctoral Traineeship in Genetic and Neurobehavioral Mechanisms of Addiction, its Risk Factors and Consequences
Company Information
Discovery happens here. The University of Minnesota Twin Cities is a top 10 U.S. public research university with world-class academics, award-winning faculty, and state-of-the-art facilities. Our researchers and students uncover new knowledge and find solutions to some of the most complex challenges facing society today.
Fellows will conduct original research supervised by a faculty mentor with whom they will work closely, communicating the results of that work at scientific meetings and through publication (75%). Fellows will attend the weekly training program pro-seminar (5%), engage in training activities (e.g., workshops) necessary to develop additional skills in their research field of interest (10%), and apply for additional grant funding to bridge their eventual transition to become independent scientists (10%).
Required Qualifications:
1. Must be a U.S. citizen or permanent resident.
2. Ph.D. in field related to the domains described above, which may include Biostatistics, Radiology, Computer Science, Genetics, Statistics, Public Health, Epidemiology, Neuroscience, Child Development, Pharmacology, and Psychology will be considered, as will degrees in many other relevant fields.
3. Excellent written communication skills as demonstrated by scientific publication(s).
4. Excellent organizational and time management skills.
5. Proven ability to think creatively, solve problems, and work effectively with others.
6. Commitment to continued scientific and methodological research activity related to addiction, broadly writ.
Desired Qualifications:
While not required, we also seek individuals who have experience with research involving large-scale data to answer scientific or methodological questions related to the goals of this training program as described above.