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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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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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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
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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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: Design and chemical synthesis of glycopeptide-based probes We are seeking a highly motivated PhD student to join the Bioorganic Synthesis group on a project which aims to develop innovative chemical tools