Students: Exploring Advanced Machine Learning Applications in Real-Time Dose Verification for Proton Therapy
vor 1 Woche
Fraunhofer-Gesellschaft is a leading research organization that focuses on developing key technologies for the future. Our mission is to enable the commercial utilization of our research results by industry and business.
Job DescriptionWe are seeking students to work on Master's theses, internships, and student assistant positions in the field of machine learning and AI. Our team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision, with a focus on semiconductor manufacturing and medical technology.
Responsibilities- Develop and apply machine learning algorithms to real-world problems in proton therapy
- Collaborate with our team of experts from different disciplines, including proton therapy, computer science, applied mathematics, detector physics, and medical physics
- Contribute to the development of intelligent systems for real-time dose verification in proton therapy
- Practical experience with AI and machine learning algorithms
- Excellent programming skills in Python
- Strong interest in interdisciplinary work at the intersection of medical engineering, physics, mathematics, and data science
- Currently studying in Chemnitz, Mittweida, or the surrounding area
- Grade point average of < 2
- A dynamic and international work environment
- The opportunity to work on cutting-edge research projects
- Collaboration with a team of experts from different disciplines
Please submit your application, including your CV and a cover letter, through our recruiting portal. We look forward to receiving your application.
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