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Biology Today and Tomorrow with Physiology (4th Edition) – PDF
eBook details
- Authors: Cecie Starr, Christine Evers
- File Size: 160 MB
- Format: PDF
- Length: 640 pages
- Publisher: Cengage Learning; 4th edition
- Publication Date: May 9, 2012
- Language: English
- ASIN: B00B7L9LII
- ISBN-10: 1133364454, 1133590837, 1305258541
- ISBN-13: 9781133364450, 9781133590835, 9781305258549
Original price was: $46.99.$7.00Current price is: $7.00.
About The Author
Cecie Starr
Dr. Cecie Starr has been known as one of the best-selling biology textbook authors for the past 2 decades. Her textbooks, appreciated for their clarity in both the written word and the visual representation of biological concepts, include multiple editions of BIOLOGY: CONCEPTS AND APPLICATIONS, BIOLOGY TODAY AND TOMORROW and BIOLOGY: THE UNITY AND DIVERSITY OF LIFE.
Cecie's original dream was to become an architect. Instead of building houses, she now builds, with care and attention to detail, incredible textbooks based on this philosophy: "I invite science students into a chapter through an intriguing story. Once inside, they get the great windows that biologists construct on the world of life. Biology is not just another house. It is a conceptual mansion. I hope to do it justice."
Christine Evers
Dr Christine Evers is an Engineering and Physical Sciences Research Council (EPSRC) Research Fellow at Imperial College, London (UK). She received her PhD from the University of Edinburgh, UK, in 2010, after having completed her MSc degree in Signal Processing and Communications at the University of Edinburgh in 2006, and BSc degree in Electrical Engineering and Computer Science at Jacobs University Bremen, Germany in 2005.
After a position as a research associate at the University of Edinburgh between 2009 and 2010, Christine worked until 2014 as a senior systems engineer on RADAR tracking systems at Selex ES, Edinburgh, UK. She returned to academia in 2014 as a research associate in the Department of Electrical and Electronic Engineering at Imperial College, focusing on acoustic scene mapping for robot audition.
As of 2017, she is awarded a fellowship by the UK's EPSRC to advance her research on acoustic signal processing and scene mapping for socially assistive robots. Her research focuses on Bayesian inference for audio and speech applications in dynamic environments, including acoustic simultaneous localization and mapping, sound source localization and tracking, blind speech dereverberation, and sensor fusion.
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