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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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multimodal datasets Design and fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior Collaborate closely with experimentalists for mechanistic
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Area of research: Studentische Hilfskräfte Job description: Student Assistant (f/m/x) - Machine Learning and Image Analysis 102739 Stud. Assistant 20 hrs./week Munich Partial Home Office possible
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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for electrodes and integrate these models as machine learning-based surrogate models for stack and system-level optimization. Your tasks in detail: Develop automated data processing pipelines to analyze SOC
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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will be to design machine-learning classifiers. You will be embedded in a vibrant research group, which includes close communication with modelers and experimentalists. To learn more about our projects
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently