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{bio,medical} informatics

Wednesday, October 12, 2005

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find related articles. powered by google. The Register Sexism still rife in science and tech jobs, research says

"Women working in science and technology still face major barriers to career success, according to researchers at the University of Newcastle, with many women emphasising the struggle to balance family and professional life as a significant problem. So-called institutionalised sexism and male dominated boards were also highlighted as major problems."

"The Newcastle research also found that many women felt they had been "weeded out" of the career structure before they had reached their potential. Others still felt their positions did not adequately reflect their skills or experience."

redux [05.06.03]
find related articles. powered by google. The New York Times Women in Science Push Higher on the Y Axis of Success
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"For years, it seemed, women in science were like Alice Through the Looking Glass, racing frantically alongside that tedious Red Queen only to be told, sorry, m'dear, "it takes all the running you can do to keep in the same place."

"This year, however, Alice boarded that leaping Looking Glass train and bounded over brook, rook, white rabbits and old habits. When the National Academy released its register of new members last week, scientists and scorekeepers were agog."

redux [10.12.01]
find related articles. powered by google. BioMedNet Huge salary survey confirms gender gap in biology
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"Life scientists in the US fare better on the whole than other workers, the largest and most comprehensive salary survey of life scientists has found: Compared to the salary of the average US worker ($25,508), life scientists in academia earned a median salary of $80,000. But women and postdoctoral fellows do not appear quite as successful."

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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