Dr. Peter Gockel

Assistant Professor

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Biography

Peter Gockel is an active researcher affiliated with the Technical University of Denmark (DTU) in Kgs. Lyngby, Denmark. He specializes in data-driven strain design and the development of Bacillus cell factories for protein production. His research focuses on utilizing innovative approaches to enhance the efficiency of microbial production systems, contributing significantly to the field of biotechnology. Gockel has been actively involved in guiding PhD students, providing supervision and expertise in his research projects. His work is recognized in various collaborations, showcasing a commitment to advancing knowledge in his areas of interest. He engages in collaborative projects that address contemporary challenges in biotechnology, encompassing experimental and computational methods. Gockel's contributions to the field are evidenced through his published research and active profiles on academic platforms like Scopus, which detail his contributions to science and publications over recent years.

Research Interests

Experience

PhD Supervisor

2023-09-15 — 2026-09-14

Technical University of Denmark • Kgs. Lyngby, Denmark

Supervising PhD students in the field of data-driven strain design and microbial protein production.

Requirements for Technical University of Denmark

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:88
Prerequisites
Bachelor of Science in Engineering or equivalent Strong background in Mathematics and Physics
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.