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Find2Fix will engineer the first open-source tool for the entire process from software error discovery to mitigation based on modern active learning. Job Description You will research the state
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Statistics (AISTATS), vol. 238, pp. 550-558, 2024. H. Fokkema, T. van Erven and S. Magliacane. Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
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2 Sep 2025 Job Information Organisation/Company Wageningen University & Research Research Field Engineering » Chemical engineering Engineering » Mechanical engineering Physics » Statistical physics
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of the practitioner. Hence, there is a strong need for a human-centered approach that enables experts to inform and guide the learning process. The second reason is that interpretable models typically do not achieve
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: Experience designing and conducting experiments and processing geological samples A theoretical background in thermodynamics, mineralogy, petrology and economic geology Statistics and coding experience A
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) to turn these new theoretical developments into performant implementations; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
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experiments and processing geological samples A theoretical background in thermodynamics, mineralogy, petrology and economic geology Statistics and coding experience A willingness to experiment with new data
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control systems. It will address practical limitations that prevent reaching theoretical performance, with particular emphasis on optimal feedback design, actuator optimization, and novel control strategies
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of DNA damage on RNA polymerases in living cells. This project will provide important molecular insights in how DNA damage affects Pol II and interferes with the transcription process, thereby improving
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the Netherlands. In this role, you will contribute to both academic knowledge and practical impact. Tasks for this PhD project include: reviewing existing literature to inform research questions and theoretical