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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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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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environment Engage with several companies and stakeholders within the NRMM sector. Your goal is to gather real-world data and information that will help in the development of the load profile generator. Design
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. from neuro- or plant sciences Advance our understanding of the underlying theory, as well as applicability to scientific applications, where explainability, interpretability, and reliability are as
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research community at meetings and conferences Contributing to the preparation of project report Your Profile: A university degree (PhD or Master) in Computer Science, Research Software Engineering, (Quantum
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technology Fluent command of written and spoken English Leadership and communication skills Ability to work autonomously in close interaction within a team And most importantly: enthusiasm to explore uncharted