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the field of machine learning for medical imaging. About us The research group AI for Vision focuses on blue-sky research in the fields of (1) machine learning for medical image analysis, (2) weakly and self
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strengthen the focus of medical technology and medical physics research at the Department of Radiotherapy and Radiation Oncology (Director: Prof. Dr. F. A. Giordano). The focus is on research, development and
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Preventive Medicine; Prevention of Cardiovascular and Metabolic Diseases, Complex Data Processing in Medical Informatics] is expected. Collaboration should especially focus on research aspects of health
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. Possible applications for the robot are in the areas of smart farming, such as harvesting apples, in industrial robotics, where safety plays an important role, and in medical technology, e.g. for handling
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21.06.2024, Wissenschaftliches Personal As part of an international research group, you will work on understanding how to identify drought stress in trees and investigate its effects on growth. The position is suitable for disabled persons. Disabled applicants will be given preference in case of...
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on semiconductor manufacturing and medical technology. Do you have a passion for developing application-oriented computer vision pipelines for semiconductor metrology? Join our team as a student and
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, information technology, (medical) informatics, applied mathematics, physics or similar Interest in the design and implementation of software for robot systems Basics of computer science such as algorithms, data
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Research fellow - Health Economics (m/f/d) Stellenanzeige merken Stellenanzeige teilen wanted for the next possible date for the Heidelberger Institute of Global Health. The Institute of Global
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21.06.2024, Wissenschaftliches Personal The future Chair of Tree Growth and Wood Physiology at the TUM School of Life Sciences, Technical University of Munich, is looking for a doctoral student in
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research Job-ID: V000012920 Field of application: Heidelberg Institute of Global Health Location: Heidelberg Start date: as of now Job Category: Science and teaching Working hours: full-/ part-time (75-100