Bachelor or Master Thesis in Evaluation and
vor 4 Wochen
Fraunhofer MEVIS is a world-leading research and development center for computer support in digital medicine. We pursue a patient-centered and clinical workflow oriented approach to solving clinically relevant challenges in image
- and data-based diagnosis and therapy.
**What you will do**
You will be tasked with the critical evaluation and refinement of a visual Machine Learning (ML) toolkit. This toolkit is designed to assist researchers in the navigation and interpretation of complex data sets, guiding them through the process, and fostering the generation of actionable insights. Your role will involve conducting both qualitative and quantitative assessments of the toolkit with users ranging from novices to experts. The data you gathered from these evaluations will then be meticulously analyzed to inform subsequent design recommendations, potentially leading to iterative software enhancements.
The topic is suitable for bachelor or master thesis.
**What you bring to the table**
- enrolled student in Computer Science, Human-Computer Interaction, Media Informatics, Medical Engineering or a related field.
- Proficiency in web programming languages and frameworks.
- Extensive experience with scientific research methodologies.
- Fluent in German and English
**What you can expect**
- An opportunity to work at the intersection of cutting-edge technology and medicine.
- A collaborative environment that values individual contributions and expertise.
- A commitment to your professional development and mentorship from leading experts in the field.
- The possibility to make a significant impact on the future of medical research and patient care.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
If you have any questions, do not hesitate to contact
Henrik Detjen
Fraunhofer Institute for Digital Medicine MEVIS
Requisition Number: 73917 Application Deadline:
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