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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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transport Easy accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is
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interdisciplinary Programme Areas (PAs) which work collaboratively towards achieving ZMT’s mission. This position will be located in and contributing to PA2 - Global Change Impacts and Adaptation, which addresses
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 2 months ago
through a startup spinoff project funded by Max Planck Innovation’s MAX!mize program. Our platform makes behavioral analysis tools accessible for research and industry applications. Your tasks Coordinate
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communication skills in English are mandatory German speaking skills are not required This is a wet-lab position, so applicants with a purely (bio)informatics background will not be considered. WE OFFER: Salary
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available in the further tabs (e.g. “Application requirements”). Programme Description The Hans Böckler Foundation is the institute of the German Federation of Trade Unions (DGB) to promote research and
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• numerical simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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solutions for real security and data protection issues. The Secure Software Engineering research department researches and develops innovative solutions for the automatic identification of malware
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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