Carl Zeiss AG
Internship on Phototoxicity in Microscopic Dynamic Optical Coherence Tomography(m/w/x)
Full-timeInternshipWith Homeoffice
Dresden
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CACarl Zeiss AG
Internship / Thesis on Algorithms and Image Processing in Dynamic mOCT(m/w/x)
Dresden
Full-timeInternshipWith Home Office
Nejo AI Summary
Working alongside a multidisciplinary research team, you will evaluate advanced algorithms for optical coherence tomography to help shape the future of the microscopy products.
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CACarl Zeiss AG
Internship / Thesis on Algorithms and Image Processing in Dynamic mOCT(m/w/x)
Dresden
Full-timeInternshipWith Home Office
Nejo AI Summary
Working alongside a multidisciplinary research team, you will evaluate advanced algorithms for optical coherence tomography to help shape the future of the microscopy products.
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
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