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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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. The project offers the opportunity to contribute to state-of-the-art methods in digitalization and intelligent control systems, while collaborating closely with leading industrial and academic partners across
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methods in digitalization and intelligent control systems, while collaborating closely with leading industrial and academic partners across Europe. Duties A PhD position involves both theoretical and
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sustainable systems. One issue using hydrogen is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project
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is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project will computationally explore catalyst
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statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
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statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation
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and advanced characterization methods and device fabrication. The deadline for application is 2025-10-15, and the starting date is 2026-02-01 or by agreement. More details on the application
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parallel to what has recently been shown in human gut health, microbial diversity on both leaves and roots is an important factor in overall plant health. However, the connections between plant disease and
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: https://wasp-sweden.org/ Project description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy