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-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meetings, conferences
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of problems and ability to master complex systems Solid programming skills in C++ or another object-oriented language Interested in the areas of computer architecture and multi-core processors Knowledge of gem5
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models, the energy consumption during operation can be simulated from different angles. Based on a toolchain, which automatically generates building Modelica models based on an intuitive language for room
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models, the energy consumption during operation can be simulated from different angles. Based on a toolchain, which automatically generates building Modelica models based on an intuitive language for room
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for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting
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ability to work independently Very good cooperation and communication skills and ability to work as part of a distributed team in an international and interdisciplinary environment Excellent communication
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and characterization techniques Laboratory experience Experience in the Origin program is beneficial Willingness to learn and ability to think outside the box Excellent cooperation, communication, and
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Fluent in spoken and written English, some proficiency in German is preferred Strong cooperation and communication skills Structured, targeted and independent way of working Ability to contribute in
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team, interdisciplinary and cross-topical thinking Very good communication skills Very good English, both spoken and written. German language skills are not necessary but a plus High motivation and work
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software development (demonstrated by e.g. the dissertation, publications in peer-reviewed journals or open source projects) Excellent communication skills and the ability to present complex issues in a