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advancement SUPERVISION & SUPPORT: We will accompany your doctoral studies with continuous, expert guidance from your academic supervisor WORK-LIFE BALANCE: Optimal conditions for balancing work and private
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
engineering. We are looking for talented people to join us. Your responsibilities include: Setting up automated, laboratory scale reaction processes for synthesizing and optimizing nanoparticles and
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or bioprinting technologies. Another focus of his work is the design, production and optimization of triboelectric nanogenerators (TENGs), which are to be used to generate energy from mechanical motion. The aim is
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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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for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation
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are looking for talented people to join us. Your responsibilities include: MI Project IE2501 “Safe Hydrogen Networks: ML-Supported Safety Analysis and Optimized Sensor Placement” Research in the field of safety
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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
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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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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