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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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that learns to map the target path and current sensor data directly to motor control variables. The focus is on evaluating the extent to which such an approach can improve portability to new vehicle types and
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will review all applications Key selection criteria are: - Previous academic achievements - Convincing letter of motivation for choice of study programme and future academic project Further information
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allowances, if applicable. See here for further information. Application Papers Application forms and further information on the application procedure can be found here . Application Deadline Closing date
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-Vorlage Professorship for Computer Architecture and Operating Systems (CAOS) TUM School of Computation, Information, and Technology Technische Universität München Neuromorphic AI Architectures for Edge
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processes Experience with sensor technology and microprofile measurements Experience in data analysis with Excel or R, including sequence data analysis Practical field and ship experience, especially sampling
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(Administration) recruiting.leibniz-lsb(at)tum.de . We look forward to receiving your application! Data Protection Notice: As part of your application for a position at Leibniz-LSB@TUM, you will transmit personal
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research
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translate data into robust, quantitative insight. The primary responsibility is to support and drive collaborative SyNergy projects; in addition, the role includes scientific contributions to a defined
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development and digitalization in order to find innovative solutions As part of your thesis, you will set up a data pipeline to prepare the data for modern AI methods—this is how you will shape digitalization