First impressions are everything. On average, it is common knowledge that most employers look at a resume for 6 to 7 seconds making it important that you grab the employer's attention. This session will provide strategies and tips on how to make your name stand out in the sea of resumes and cover letters, formatting do's and don't, and the strategies for customizing your resume/cover letter to specific positions, organizations, and industries.
Find out more »Yaotian Wang, a doctoral candidate in the Department of Statistics at the University of Pittsburgh and candidate for a faculty position in the Division of Biostatistics, will present: "High-Dimensional Directed Network Analysis of Human Brains" Abstract: The human brain is a high-dimensional directed network system consisting of many regions as network nodes that exert influence on each other. The directed influence from one region to another is called directed connectivity and corresponds to one directed edge in the directed brain…
Find out more »Qualitative methods are powerful for studying populations whose practices and behaviors have been largely excluded from or undervalued in public health research. Positive deviance is an approach to program development, evaluation and research which leads to asset-based solutions and messages that come from within and build upon the strengths of communities. It’s been used across the globe to identify low-cost, easily accessible health interventions using community-engaged methods. As we further explore the positive deviance research approach with Dr. de Brito,…
Find out more »Ned McCully, Program Coordinator for Environmental Health Sciences and Public Health Practice, is now hosting Let’s Talk in SPH Student Services (A395-8 Mayo) on Thursdays from 2-4pm. Let’s Talk is an informal drop-in consultation program for all UMN students. Let’s Talk counselors can listen to specific problems, provide support, help explore solutions and provide information about mental health and other resources. A more in depth description of Let’s Talk including hours, additional locations (there are virtual and in-person options available),…
Find out more »Tiffany Tang, a doctoral candidate in the Department of Statistics at the University of California, Berkeley, will present: "Towards Reliable Hypothesis Generation via Statistical Machine Learning and Collaboration" Abstract: Given the rapid and continual influx of data in the biomedical field, the question arises: Can we leverage modern statistical machine learning tools to extract interpretable insights from the data and generate reliable scientific hypotheses to guide future experiments? In this talk, we discuss a particular instance regarding cardiac hypertrophy, an…
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