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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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-party funding Research topic In this research project, the optimization of feed spacer design aims to reduce biofouling in membrane modules, enhancing cleaning efficiency and overall process performance
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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, we are seeking a highly motivated Postdoctoral Researcher with a background in molecular biology, biochemistry, or bioinformatics to contribute to our work in developing novel therapeutic approaches
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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: Optimizing breakpoint handling, instruction tracing, and execution control within emulation environments to minimize performance impact, particularly for multi-threaded and hetero-geneous workloads. • Cross
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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Your Job: This position focuses on developing, operating, and characterizing superconducting quantum devices. Your tasks in detail are: Development of novel methods for experimentation, fabrication
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) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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Intelligent Energy Management Systems. You are passionate about applying cutting-edge information technology to solving the energy and climate crisis and would like to work in a vibrant research environment