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encoding of information, inspired by concepts from single-pixel imaging, and transposed to fluorescence microscopy through the use of structured illumination with variable frequency. The objective is to
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structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
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industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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scientific activities related to data production and structuration, carried out by project partners in the humanities and social sciences, particularly in heritage science, across various corpora and case
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role The successful candidate will pursue postdoctoral research in group actions, geometric structures, and smooth dynamics in the research group of Prof. K. Melnick, within the Department of Mathematics
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exploit the unique capabilities of the ID32 beamline. ID32 is a soft X-ray (400-1600eV) beamline with a scientific focus in the areas of electronic structure and magnetism. The beamline has two branches
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structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption
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results. Methodology The post-doc researcher will be responsible for a set of TCAD simulations with the Synopsys SENTAURUS tool on a simple (reference) FD-SOI MOSFET structure to obtain: 1
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance