Thirteen months of living through a global health crisis has put many individuals under chronic stress, with researchers acknowledging “the COVID-19 pandemic as a major, global and chronic life-stressor,” as they continue to study the impact of pandemic-related stress on the human brain, with particular focus on
Over the course of the COVID-19 pandemic, no sector has gained more significance or public visibility than life sciences.
If you were a job seeker 30 years ago, guess what you were doing on a Sunday? You were likely leafing through a heavy, bulky Sunday newspaper, yanking out the “classifieds” section, and sitting down to circle some ads. Maybe you had also signed up with an employment agency.
"Women in Science Wednesday"
Each and every day—every month, every year—women are making discoveries, breaking barriers, and changing the world through their achievements. This month, of course, we are celebrating “Women in STEM” –honoring scientists whose accomplishments are a source of inspiration, and whose work has paved the way or is paving the way for current and future innovations.
It’s Friday! If you’re in the northeast, raise a glass to today’s gorgeous weather (it was 72 degrees, blue skies, and sunny in Piscataway / New Brunswick, New Jersey, after weeks of snow). Next, let’s toast something even better: a robust job market and increasingly higher wages, both of which—according to sources including the Wall Street Journal (WSJ), Emsi (a go-to source for labor and workforce data), and the U.S.
These days, the engineering and tech sectors offer some of the fastest growing and highest-paying jobs of any industry. Yet women and men in these fields do not benefit equally: the entry-level salary for a woman in engineering or tech is $4,000 less than that of a man with identical (and sometimes lesser) credentials and skills. Why does this wage gap exist?
A little more than a year ago, as machine-learning and deep-learning technologies continued to rapidly advance, many workers had significant—and legitimate—concerns that the increasing application of artificial intelligence (AI) in so many fields would lead to widespread job obsolescence.
