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of Science / the Institute for Biology is looking for a: Postdoctoral Researcher, Antibiotic Discovery and Development Vacancy number: 15992 Key responsibilities The postdoctoral researcher to be hired will
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oriented towards the development of a domain-specific design automation framework for cryptographic hardware. Your work will focus on identifying the mathematical knowledge and properties to guide hardware
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are looking for a PhD student to work on Cryptographic Hardware and Design Automation. The project is oriented towards the development of a domain-specific design automation framework for cryptographic hardware
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limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
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, the researcher will develop theory and algorithms for (hybrid) model selection that allows to exploit domain knowledge through interactive learning. For this we will build on the minimum description length (MDL
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optimisation algorithms to optimize the designs. We now hire three PhD candidates who be based at LIACS (Leiden University) and spend several months with industry and academic partners abroad. The GenAIDE
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief
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Leiden University. Finally, the person appointed will be involved in shaping educational innovations to train the next generation of biologists to be proficient in data science and quantitative approaches
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research community at the IBL and fostering strategic partnerships within and beyond Leiden University. Finally, the person appointed will be involved in shaping educational innovations to train the next