16 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" PhD positions 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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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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of invariants of operator algebras, such as K-theory and cyclic homology; and Developing a mathematical method for passing from numerical Berry curvature to robust topological invariants in a large class of cases
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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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across scales, combining multiple fields including physics, mathematics, astronomy, history & philosophy of science, and social science. Its approach to societal engagement throughout the project’s 5-year
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role in the Netherlands. However, given its environmental impact, the sector must be decarbonised in line with Dutch climate targets. Achieving this requires the development of innovative, transformative
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economic role in the Netherlands. However, given its environmental impact, the sector must be decarbonised in line with Dutch climate targets. Achieving this requires the development of innovative
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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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to the challenges of sustainability. CML distinguishes itself for its attention to professional development in coordination with the interests of its scientists. As such, there are plenty of opportunities to learn