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Field
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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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, analysis, and simulation of functional materials to find an optimal structure on small scales, ranging from the micrometer to the nanometer scale. The investigated materials and systems play a crucial role
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Infrastructure? No Offer Description Work group: IBG-3 - Agrosphäre Area of research: PHD Thesis Job description: Your Job: The PhD position is offered within the Cluster of Excellence PhenoRob – Robotics and
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process
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of Technology, will be sought. Optimal conditions for a good work-life balance and a family-conscious company policy. The possibility to work flexibly (in terms of location), e.g., in a home office, is generally
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and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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on Länder) salary scale at level 13 (EG 13, 75%, 30 h/week) Who are we? The IOW is an independent research institute of the Leibniz Association for which equal opportunities, family friendliness and work-life
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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) Good knowledge of AI frameworks like TensorFlow, PyTorch, Keras Good to have: Scientific publications Experience with ML models and methods (CNNs, LLMs, Transformers, GNNs) We offer: An optimal research