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Your Job: A significant portion of land is allocated to produce animal-based food products, and the arable land utilized for fodder production could potentially be utilized for direct food
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for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex problems with high-quality software solutions. You will work with machine learning, HPC, and domain science experts and
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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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HYDRUS and MODFLOW Your Profile: MSc degree in hydrology, environmental sciences, environmental engineering, or similar subjects Knowledge of modelling techniques and ideally of land surface models
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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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to conduct research at the interface of theory and experiment in a world-leading group in quantum technology Work in a highly motivated research group as part of an international and interdisciplinary working
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engineering, computer engineering, computer science, or related fields Background in device physics and analog or mixed-signal circuit designs Strong skill in mixed-signal circuit designs (active filter