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Werde Internship/Master Thesis in deep learning-based methods for microscopy bei ZEISS Group – Dein neuer Job in Oberkochen wartet
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ZEISS Group
Oberkochen
Stellenausschreibung
Your Role
We seek a motivated and talented intern or Master's thesis student to work on a research project focused on exploring the potential of deep learning-based methods for microscopy. The successful candidate will have the opportunity to implement and evaluate DL-based methods and collaborate with a team of experts in the field. This is a unique chance to gain hands-on experience in cutting-edge research and contribute to the development of advanced microscopy techniques. Your role:
- Familiarize yourself with state-of-the-art deep learning-based methods for microscopy
- Implement DL-based and analytical methods for microscopy
- Evaluate methods with benchmark datasets
- Possibly conduct real-data validation
- Collaborate with the team to achieve project goals and deliverables
- Communicate project progress and results to mentors and team members
- Document the study results
Your Profile
- Master's degree student in computer science, bio-engineering or related fields
- Strong background in machine learning or related fields
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with image processing (OpenCV, Open3D)
- Familiarity with microscopy is a plus
- Excellent problem-solving skills
- Detail-oriented and able to work in a team
- Self-motivated and independent working style with a passion for exploring complex and innovative topics
- Good written and oral communication skills in English
- Motivated, curious, and eager to learn
- Available to work for at least six months (internship or Master's thesis)
Your ZEISS Recruiting Team:
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