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at the interface of dentistry and medical microbiology. The goal is to establish and expand an oral biofilm engineering platform, focusing on innovative in vitro and ex vivo models (e.g. dynamic
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QUINCY (Thum et al. 2019) into the Earth System Model ICON, and is currently using QUINCY for various ensemble-based projects including offline (i.e. reanalysis-driven simulations such TRENDY, NMIP) as
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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division "Catalytic Interfaces for Chemical Hydrogen Storage" (IHE-1), led by Prof. Dr. Hans-Georg Steinrück, we investigate mechanisms and processes in (electro)chemical energy storage systems
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self
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while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing
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18.10.2022, Academic staff The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data. The lab