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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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match the position as well as summarizing your scientific work. A CV including English proficiency level, nationality, visa requirements, date of birth, experience overview, and publication list. Contact
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(Kingdom of the) [map ] Subject Area: Algebraic Geometry Appl Deadline: 2025/07/07 11:59PM (posted 2025/06/12, listed until 2025/12/12) Position Description: Apply Position Description Join our dynamic
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: PhD in biology, physiology, biomedical engineering, or a related field. Demonstrated skill in handling mouse and rat pups, small animal procedures, and in vivo imaging. Familiarity with cardiac
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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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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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you