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the aim of optimizing adsorbent materials for fluorinated molecules • Calculation of reaction dynamics using non-Markovian reaction rate theory • Calculation of linear and nonlinear spectra in the microwave
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Your Job: Operando X-ray investigations of energy materials, with a focus on chemical hydrogen storage Design, development, and optimization of advanced sample environments and reactors for high
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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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aim to bring quantum photonics to life and shape the future of quantum technology. This fellowship provides optimal conditions to conduct groundbreaking preliminary research, preparing for an ERC
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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microfluidics-based methodologies and provide SOPs to ensure reliable and reproducible use. Propose and discuss organizational and infrastructure improvements with the MPZPM board, focusing on optimized workflows
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you a versatile platform to take the next step in your career! Join our team in the development of quantum components and the optimization of our manufacturing processes – as soon as possible. What you
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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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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 2 months ago
Job Code: 2025-HiWi-Optimal Microscopy-2530 Job Offer from October 17, 2025 Dr. Michael Weber’s group (Max Planck Institute of Molecular Cell Biology and Genetics in Dresden) aims to develop