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Internship / Thesis on Algorithms and Image Processing in Dynamic mOCT(m/w/x)
Researching algorithms and image processing for dynamic mOCT, contributing to next-gen product development at a major optics technology group. Relevant science/engineering degree enrollment and proficient Python programming needed; image processing experience preferred. PhD-level expert mentorship, hybrid/remote work options.
Requirements
- Enrollment in life science, physics, engineering, or related degree
- Proficient programming experience, preferably Python
- Ideal experience with image processing algorithms or projects
- Interest in technology and motivation for demanding tasks
- Enthusiasm to learn with initiative and creativity
- Commitment to collaborating in cross-functional teams
- Proficiency in English and good communication skills
Tasks
- Investigate available algorithms for dynamic optical coherence tomography
- Compare research results to other microscopy modalities
- Collaborate with students, scientists, and research engineers
- Contribute to the development of next-generation products
- Apply academic knowledge to practical research projects
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Modern Equipment
- Cutting edge technology implementation
Mentorship & Coaching
- PhD-level expert mentorship
- Academic and thesis support
Modern Office
- Modern working environment
Flexible Working
- Hybrid and remote work
Career Advancement
- Career growth opportunities
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- Home
- Jobs in Germany
- Internship / Thesis on Algorithms and Image Processing in Dynamic mOCTInternship / Thesis on Algorithms and Image Processing in...
Internship / Thesis on Algorithms and Image Processing in Dynamic mOCT(m/w/x)
Researching algorithms and image processing for dynamic mOCT, contributing to next-gen product development at a major optics technology group. Relevant science/engineering degree enrollment and proficient Python programming needed; image processing experience preferred. PhD-level expert mentorship, hybrid/remote work options.
Requirements
- Enrollment in life science, physics, engineering, or related degree
- Proficient programming experience, preferably Python
- Ideal experience with image processing algorithms or projects
- Interest in technology and motivation for demanding tasks
- Enthusiasm to learn with initiative and creativity
- Commitment to collaborating in cross-functional teams
- Proficiency in English and good communication skills
Tasks
- Investigate available algorithms for dynamic optical coherence tomography
- Compare research results to other microscopy modalities
- Collaborate with students, scientists, and research engineers
- Contribute to the development of next-generation products
- Apply academic knowledge to practical research projects
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Modern Equipment
- Cutting edge technology implementation
Mentorship & Coaching
- PhD-level expert mentorship
- Academic and thesis support
Modern Office
- Modern working environment
Flexible Working
- Hybrid and remote work
Career Advancement
- Career growth opportunities
About the Company
Carl Zeiss AG
Industry
Science
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
Not a perfect match?
- Carl Zeiss AG
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