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Field
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Description The interdisclipinary and highly international PhD program Medical Research in Epidemiology and Public Health ( PhD EPH ) at the Institute for Medical Information Processing, Biometry
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process optimization: You analyze and refine polishing tool operations to enhance performance and reproducibility during wafer processing. Data-driven characterization: You collect, analyze, and interpret
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
microbiome stability, resilience, and tipping points, using model systems and clinical data to uncover what drives changes from health to disease Our Microverse Mission: We integrate insights across ecological
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technical expertise, coordinate collaborative workflows, and contribute to data analysis and project development. The position is to be filled by 01.03.2026 or 01.04.2026. Your tasks You will work with lung
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research. As an interdisciplinary team, we work in a well-equipped building located directly adjacent to Tübingen’s historic old town. More information about us and our institute can be found at www.hib.uni
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to you as soon as possible and let you know what happens next. Fraunhofer Institute for Computer Graphics Research IGD www.igd.fraunhofer.de Requisition Number: 82481 Application Deadline
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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network analyses experience is useful Experience in data analysis and scientific publication Ability to work in a team, good English communication skills A driver licence is useful Our offer We offer
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the results In addition, you will use algorithms to extract surface characteristics such as roughness, waviness, and contact ratio from the collected data Furthermore, you will develop a machine learning model
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XRF microscopes. You learn to independently perform electrochemical measurements of MEAs on the test stand and to document and scientifically analyze the resulting data (e.g., polarization curves