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Field
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal
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derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge of available third-party
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organisms have been lacking. You will build on our recently developed single-cell ribosome profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will
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diverse team of PhD candidates who will focus on three key areas: Probabilistic and differentiable algorithms for machine learning; Programming language implementation for high performance computing
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The translation of mRNAs by ribosomes is a key step in decoding
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, which is time-prohibitive and therefore impractical for large parts. This project therefore aims to develop numerical methods that enable the efficient simulation of the LAFP process while accounting
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. You will build on our recently developed single-cell ribosome profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will generate a genome-wide
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through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC12 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure
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PhD position in Compilers/DSLs for Probabilistic and Differential Programming Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40