Dr. Phillip Manning

Professor

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Biography

Phillip Manning is a Professor at the University of Manchester, specializing in Natural History. His research interests encompass a wide array of fields, including synchrotron-based imaging spectroscopy, vertebrate ichnology, biomechanics, paleopathology, arthropod paleoecology, x-ray microtomography, structural biomaterials, paleoproteomics, bioarchaeology, evolutionary respiratory biology, and vertebrate taphonomy. Manning's interdisciplinary research emphasizes the application of physics, biology, chemistry, and engineering techniques to enhance our understanding of fossils through synchrotron light. His work has led to significant breakthroughs, such as the reinterpretation of iconic fossils including Archaeopteryx. In addition to his research, Manning is dedicated to public engagement and outreach in science, collaborating with institutions worldwide, including Stanford University and the American Museum of Natural History. He is also actively involved in training students and contributing to sustainable development goals in paleontological research.

Research Interests

Experience

Professor

2015-01-01 — Present

University of Manchester • Manchester, England

Leading research and teaching in Natural History.

Awards

#

Fellow

2020-06-22
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Sorby Medal

2020-02-02
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Prize

2020-12-01

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.