177 engineering-computation-"https:" "https:" "https:" "https:" "https:" uni jobs in Germany
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University of Munich is one of the largest production technology institutes in Germany. Main topics include production and logistics, machine tools, assembly technology and robotics, battery production
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Design Technology in Berlin has stood for excellence in production science. We are dedicated to bridging the gap between science and practice in the field of industrial production and offer application
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Brandenburg
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University of Technology Cottbus-Senftenberg (BTU)CountryGermanyState/ProvinceBrandenburgCityCottbusPostal Code03048StreetLipezker Straße 47Geofield Contact City Cottbus Website http://www.b-tu.de Street
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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. What you bring to the table What is your background? You are studying Mechanical Engineering or a similar field in a master’s program. You have a good knowledge of programming with Python or MATLAB? A
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′s or Master′s degree in computer science, engineering, or a related field, or equivalent practical experience Strong experience with AWS services, including, but not limited to, EC2, S3, Lambda, IAM
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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Successfully finished studies with a focus on business and management (e.g. business administration, industrial engineering, business informatics or economics), informatics or natural sciences/engineering with
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will