30 algorithm-development-"St"-"St" PhD scholarships at Leiden University in Netherlands
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for Drug Research (LACDR) are looking for a: PhD candidate in the Development of Anticancer Nanomedicines Nanomedicine represents a transformative frontier in modern healthcare, enabling precise diagnosis
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for Mathematics and Computer Science (CWI). QuSoft’s mission is to develop new protocols, algorithms and applications that can be run on small to full-scale prototypes of a quantum computer. QuSoft has over 30 full
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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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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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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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, 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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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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University invites applications for a PhD position in Statistics (survival analysis). This 4-year position is part of a research project on the development of new statistical methods for the dynamic prediction
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2DPolymembrane Current separation technology is crucial for many aspects of human life and accounts for ~15% of the world’s energy consumption. Additionally, in the development of next-generation power solutions
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domains. Develop hybrid AI architectures combining symbolic domain knowledge, real-time data streams, and probabilistic inference. Design and evaluate decision support tools capable of interacting with