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on semiconductor manufacturing and medical technology. Are you passionate about cutting-edge research at the intersection of healthcare, technology and data science? Join our team in European projects
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, and medical technology? Then become part of our #OneTeam and apply for a position as a student assistant (m/f/d) at the Fraunhofer Institute for Laser technology ILT, a leading center for research and
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Specialization: Automation technology, electrical engineering, computer science, communication sciences, mechatronics, software engineering, computer engineering, biomedical engineering or similar
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4 Jun 2024 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Other Medical sciences » Other Ethics in health sciences Researcher Profile First Stage
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manufacturing and medical technology. Are you passionate about cutting-edge research at the intersection of semiconductor technology and artificial intelligence? Join us as a student in our team for artificial
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effectively aids patients in understanding their medical reports more clearly. The topic is suitable for bachelor or master thesis. What you bring to the table enrolled student in Computer Science, Human
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Computer Science, Human-Computer Interaction, Media Informatics, Medical Engineering or a related field. Proficiency in web programming languages and frameworks. A solid understanding of Machine Learning principles
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, bio(medical) informatics or computational biology, or similar background profound hands-on experience in using confocal and lightsheet microscopy, professional software packages for bioimage processing
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: physics, electrical engineering, computer science, systems engineering, mathematics, medical informatics or similar subjects. • You have knowledge of Python, enjoy laboratory work, and want to further
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 12 hours ago
of experience with image analysis and the analysis of large datasets using Python and its data science stack (Pandas, Dask). Experience in image analysis using Deep Learning methodologies would be desirable