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Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
design and synthesize a range of well-defined substrate mimics, inhibitors, and probes to target various ADP-ribosyltransferases and ADP-ribosyl hydrolases, to enable a better understanding of their
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extend your network. Good English skills and a will to work in a multidisciplinary topic are a must. Organisation The chemistry and life science research in the Leiden Institute of Chemistry (LIC) https
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-efficient LLM following a hardware-software co-design approach that enables real-time computation on resource-constrained devices. Example applications include portable speech understanding and rehabilitation
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motivated PhD candidate to evaluate the environmental impacts of port operations in the Netherlands using Life Cycle Assessment (LCA). The research will be conducted within the Port Call for Net Zero project
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prehistoric Cyprus. Two postdocs will investigate the articulation of exchange networks and how diet and feasting played a role in the reproduction of society in late prehistoric Cyprus. Four PhD candidates
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for reconstructing social inequalities in late prehistoric Cyprus. Two postdocs will investigate the articulation of exchange networks and how diet and feasting played a role in the reproduction of society in late
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the articulation of exchange networks and how diet and feasting played a role in the reproduction of society in late prehistoric Cyprus. Four PhD candidates will investigate how migration, buildings, burial
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prehistoric Cyprus. Two postdocs will investigate the articulation of exchange networks and how diet and feasting played a role in the reproduction of society in late prehistoric Cyprus. Four PhD candidates
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the form of a research course report or master’s thesis; Good programming skills. Preferably you have provable experience with deep learning; software (e.g., Pytorch, Jax, Tensorflow) and large-scale