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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Department Life Science
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Statistical analyses of long-term zooplankton data Integration of imaging technologies like FlowCam, Planktoscope, Zooscan in the assessment of plankton biodiversity Organization of the Plankton LTER
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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Do you want to contribute to the success of the energy and heat transition? We are working on solutions for the provision of (process) heat using alternative, non-fossil energy sources such as
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the development of the optical setup, nanofluidic systems, and image processing. Additionally, you will be actively involved in experimental investigations to tackle key questions in life sciences and collaborate
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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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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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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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procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Nomination Examinationapprox. 1-2 months Review Processapprox. 3-4 months Conferral Nomination documents
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Linux, Python and Conda Expertise with satellite and drone image processing Publication record in the fields listed above Experience in applying the fields listed above to the natural and/or social