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collaboration with PhD students and postdocs on cutting-edge research fabrication of novel metal fiber-based current collectors processing and analysis of colloid dispersions & polymer materials manufacturing and
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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data. 2 Postdoc Subject The main goal of this postdoc is to develop open-world 3D scene understanding models through the fusion of LiDAR-based models and VLM. This goal can be achieved by solving
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, including data compilation and analysis. Assist in the preparation and distribution of reports related to compensation and benchmarking. Conduct data audits, identify discrepancies, and implement necessary
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, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and shape these technologies
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fusion, pose estimation, EdgeAI Extensive experience in creating and leading research teams and mentoring PhD/postdoc researchers Proven leadership responsibilities in managing research strategy and
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in