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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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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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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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conventional climate models. YOUR RESPONSIBILITIES Develop an original research program that leverages km-scale ICON model experiments Supervise doctoral and postdoctoral scholars, as well as research students
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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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, maintenance, and data analysis. Strong background in MS-based proteomics data analysis and familiarity with modern computational tools. Additional experience in high-throughput proteomics, low-input proteomics
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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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Your group The Prevedel group in Heidelberg is seeking a postdoc with an applied physics and/or engineering background to work on advanced imaging techniques for applications in biology and
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physicists and biologists for implementation in novel imaging systems. Dissemination of results in publications and presentations. You have A Ph.D. degree in Organic Chemistry. Excellent experimental skills in
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information visit the Guidelines on Ex-post Evaluation (PDF). Programme timeframe Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Scout selection procedure Active scouting