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track to W3) or W3 Associate Professor; to begin as soon as possible. Scientific Environment The professorship will be assigned to the Department of Mechanical Engineering at the TUM School of Engineering
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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of various cell types. What you will do In cognitive and chronic diseases, cellular morphology and mechanical properties can sensitively indicate pathological changes - sometimes even before classical
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Stellenausschreibungen und zum Datenschutz finden Sie unter www.uni-heidelberg.de/en/job-market . English version: The Cluster of Excellence 3099 ‘GreenRobust’ investigates the robustness mechanisms of various plant
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 5 hours ago
Ensuring an efficient, secure and stable IT infrastructure Your profile PhD or Master's degree in an appropriate discipline (i. e. Computer Science, Information Technology), or comparable qualification
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electrical engineering, automation technology, mechanical engineering or comparable (usually a diploma or master's degree) Diploma or Master's degree) Excellent written and spoken English Technical excellence
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: practice-oriented research for mechanical engineering, the automotive industry, and related sectors. We develop intelligent products, production systems, services, and software applications. In our Corporate
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understanding of the switching mechanisms at the molecular level. This opens up unique opportunities in a highly interdisciplinary research environment. The central task of the PhD candidate in this project is
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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mechanisms such as language and memory. We employ an interdisciplinary approach combining elements of cognitive psychology (e.g., behavioral measurements), neuroscience (especially neuroimaging: fMRI / EEG