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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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collaboration low-temperature scanning tunneling microscopy (STM) as well as atomic force microscopy (AFM) in the workgroup of Prof. Manuel Gruber (UDE), and first-principles electronic structure calculations in
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
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The overarching goal of the TOBI-team is to enhance precision cancer management through the development of innovative wet-lab and bioinformatic tools for diagnostic, prognostic, and predictive analysis. Prof
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
improving the state-of-the-art genome editing tools for non-model prokaryotes. Proven ability to use growth-coupling as screening or evolutionary platform. Experience in prototyping new biomanufacturing
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specialisation in Information Systems (IS). In the context of Prof. Fridgen's PayPal-FNR PEARL Research Grant and in strong synergy and collaboration with the FutureFinTech National Center of Excellence in
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(stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies) to: TU Dresden,Professur für Bodenressourcen und Landnutzung,Herrn Prof. Karsten Kalbitz
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-mature.org. Applicants are encouraged to contact the spokesperson in case of any questions: Prof. Dr. Gerd Bacher (UDE, gerd.bacher@uni-due.de ). The participating institutions view equity and diversity as an