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researchers at conferences and more. What will make you stand out A proactive, creative mindset when it comes to solving complex scientific and engineering challenges. A willingness to work on large data
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics
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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance
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similar role with a track record of success in fundraising. Bachelor's or master's degree in a relevant field. Previous experience in CRM systems and sales automation tools a big plus. Entrepreneurial
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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seamless data transfer between the office and the construction site, with a focus on visualization, visual analytics, explainable ML/AI or Large Language Models. Integrated and continuous information
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, textual, and temporal data for management applications. Recently awarded several major grants, our center is at the forefront of bridging sophisticated AI research with practical business applications. The
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phenomenological and quantitative first-principles theory of static and dynamic chirality in crystalline materials. The specific sub-project advertised here seeks to understand the unexpectedly large measured
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large introductory organic chemistry lectures at the undergraduate level. Contribute to the “Chemie für Mediziner” lecture course. Organize and coordinate three laboratory courses focused on organic