Become aware of and develop strategies to recognize, implement and fully integrate the academic and non- academic skills required to succeed in Graduate School. Cultivate traits and skills that will demonstrate flexibility, the capacity to work with others and to change and adapt to work environments in an academic hierarchy. Content is geared towards beginning and early year students in the biomedical and behavioral sciences who are preparing for the preliminary examination, thesis-writing process and dissertation defense.

Gain the skills needed to interact with the public and share your scientific pursuits in a meaningful and simple way with a wide variety of audiences, including journalists, students, the general public and Members of Congress.

Gain familiarity with statistical concepts such as hypothesis testing, probability distributions, random variation, rates and proportions, and regression modeling. This course will use a combination of real-world examples and in silico data to illustrate the use and interpretation of various techniques of statistical inference. Although statistical software will be used, no prior experience is needed. The main objective of the module is to introduce students, in a conceptual and non-technical way, to the principles of statistical reasoning in medical and biological research.

Gain insights and information to help you prepare for the next phase of your career. Learn how to utilize the Individual Development Plan (IDP) as a tool for self-assessment and planning. Develop interviewing skills, and consider how mentoring, networking, personal and professional development, and social support can aid in your postdoctoral/job selection process. Share best practices aimed at helping you succeed.

This module provides an introduction to key methodologies in modern biology and an overview of Brown University’s shared resource facilities. Visit core facilities that provide services in Biobanking, Microscopy, Structural Biology, Genomics, Bioinformatics, Transgenics, Molecular Pathology, Proteomics, Behavioral Phenotyping, XROMM and Magnetic Resonance Imaging (MRI). Learn the basics of how the equipment works, how the technology is used in biomedical research, and how the data can be analyzed.

The 5Rs Module aims to help Graduate Students with strategies, tools, and resources for supporting their research and publishing careers. The module content includes strategies for managing data and spreadsheets, tools for making research more reproducible, and resources for preserving and publishing digital content and making it discoverable, accessible, and citable.

Is this your first time mentoring a research student? Not sure where to start? Curious about best practices and strategies? Want a forum to talk and meet others interested in mentoring? Join us for this 4-part module on research mentoring in science with a focus on mentoring undergraduate researchers in a laboratory setting.

This module will focus on the importance of building diverse research teams and implementing inclusive lab policies. It focuses on problem solving, decision making, gender and race in academia and how they influence our work culture, best practices, hiring, mentoring, lab culture and potential problems that may arise. We will discuss and work on ways to collaborate, mentor and lead a team.