
Professor Dr. Paw Dalgaard
Professor
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Biography
Paw Dalgaard is a Professor specializing in Predictive Food Microbiology at the Technical University of Denmark. His research focuses on the microbiological quality and safety of fresh and lightly preserved food. The overall aim of his work is to gain insights into the quantitative microbiological ecology of food products, which is crucial for developing new methods and strategies to determine, predict, and improve safety and shelf-life. He has developed the Food Spoilage & Safety Predictor (FSSP) software, widely used to predict food safety and shelf-life across more than 110 countries. Dalgaard's international experience includes visiting positions at the University of California, San Diego, and Oniris in France. He has served as an editorial board member for several journals and has extensive experience as a reviewer. Furthermore, Dalgaard is involved in educating students at the Bachelor, Master, and PhD levels at DTU and the University of Copenhagen, and he frequently advises industry and authorities on issues related to microbial spoilage and safety.
Research Interests
Experience
Professor
2013-01-01 — PresentTechnical University of Denmark • Kgs. Lyngby, Denmark
Leading research in Predictive Food Microbiology.
Senior Scientist
1996-01-01 — 2013-01-01Technical University of Denmark • Kgs. Lyngby, Denmark
Conducting research and oversight on food safety projects.
Scientist
1990-01-01 — 1995-01-01Technical University of Denmark • Kgs. Lyngby, Denmark
Engaged in food safety and microbiology research.
Courses
Requirements for Technical University of Denmark
Master Program
Requirements
GPA Requirement
IELTS
TOEFL
Prerequisites
Application Checklist
- Official Bachelor's degree diploma
- Official transcripts of records
- Statement of purpose
- Curriculum Vitae (CV)
- Documentation of English proficiency
- Copy of passport
Specialization Notes
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.