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required; the project-specific methods and concepts can be learned during the doctoral studies. You are fluent in English (oral and written). You enjoy working in a team, possess the necessary social skills
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theory, physics-based simulation, and machine learning. Job description The PhD project will develop machine-learning methods for atomistic materials modeling Possible research directions include machine
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the field of the Mathematical Foundations of AI for Science and Engineering (also known as Scientific Machine Learning). The new professor will lead an internationally high-profile research and teaching
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multimodal embedding models and machine learning methods for content performance prediction Presenting results at international conferences and to partner organisations Contributing to teaching and supervising
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the first, the student will develop expertise on the lab's existing machine perfusion platforms for human and rat liver This will include learning the engineering design, assembly, and operation of
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networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise in power electronic
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, engineering, and the broader questions of how AI systems affect the people and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related
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applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and open questions in the field live. Research