121 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions in Germany
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for professional and personal life situations An exciting work environment with the opportunity to provide important impetus for the development of sustainable solutions Exciting topics in an international
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High motivation to take on responsibility and develop own research idea Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping
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on quantum dot qubits Good software development skills Experience with sub-Kelvin cryogenic techniques Strong aptitude for mentoring students Good communication skills A strong drive to conduct ambitious
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. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial
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of green hydrogen by use case. Beyond the economic feasibility, a particular focus of this position will lie on the evaluation of different development pathways when deploying green hydrogen infrastructure
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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in the vicinity to the vibrant city of Munich, very well connected by train (ca. 30 minutes), and a perfect starting point to explore the Bavarian Alps and the rest of Germany. Working hours are
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scientific work. After an orientation period, you will have the opportunity to take over the leadership of a team in the EV Lab. Your professional and private development is very important to us and will be
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thematic clusters, and analyse temporal break points and geographic trends. The Postdoc will build a database to answer research questions developed within the project, and produce at least two peer-reviewed