Career Development

Participants will learn from and connect with educators passionate about inclusively assessing student learning in undergraduate biology lab courses.

NASEM's Board on Science Education will give an overview of the report "Understanding and Addressing Misinformation about Science" and discuss its conclusions and recommendations.

A new tool for NPA members, Flamingo™, can help you figure out what jobs excite you, guide you in importing and analyzing job descriptions using SciPhD's Job Analytics Engine to identify the critical skills, and help create a targeted resume to help you get the job.

This program designed for Drosophila researchers to gain valuable career development advice from experienced mentors in the community invites graduate student and postdoctoral researchers in a fly lab, non-tenure track faculty, and pre-tenure faculty running a lab as well as those holding an equivalent position in non-academic institutions to participate.

GEE is a collaborative space where undergraduate genetics educators can share slides, exams, problem sets, and other material from introductory genetics classes for undergraduates.

This online event will feature expert panelists for a discussion on genomic applications for adequate health care.

This online event will feature experts sharing their experiences and insights on career development for scientists through discussions on scientific careers, industry, academia, professional skills, and networking in Portuguese.

FlyBoard is seeking volunteer mentors for its FlyCROSS program, which aims to foster the development of early career scientists by connecting them with mentors beyond their immediate circles.

Volunteers who are interested in advocating for Drosophila research can help organize meetings, serve on the Fly Board, and represent the interests of fly researchers.

This workshop will provide brief overviews of campus interviews for faculty positions and "chalk talk," a common feature of interviews at research-intensive universities.

Register for this online workshop on common statistical problems and errors that are noted in the peer-review process, plus solutions and guidance on how to avoid them.