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to the project. The engineer will be on the Institut Curie bioinformatics platform (resp: Nicolas Servant) and benefit from their multi-omics and cross species trajectories expertise. If necessary, the student
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, particularly large language models or multi-modality models Knowledge in deep learning optimization, such pruning and quantization Strong academic writing skill Personal characteristics To complete a doctoral
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next generation sequencing, multi-omics analyses, and advanced machine learning to diagnose the disease and identify its underlying subtype from a simple blood draw. This approach could reduce diagnosis
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
country of origin. More information about foreign diplomas is available at: https://nawa.gov.pl/en/recognition/recognition-for-academic-purposes/applying-for-admission-to-doctoral-studies .) If a document
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regulation, with the long-term goal of enabling more precise design of RNA therapeutics for complex diseases. The doctoral researcher will analyse large-scale single-cell and bulk multi-omics datasets
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en) LanguagesENGLISHLevelExcellent Additional Information Benefits A competitive salary according to MSCA regulations (see
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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Infrastructure? No Offer Description The Cybersecurity (https://networks.imdea.org/es/equipo/grupos-de-investigacion/cybersecur… ) and Internet Analytics Groups (https://networks.imdea.org/es/equipo/grupos-de
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the use of (multi‑modal) Large Language Models (LLMs) and other AI techniques to support the automated generation and adaptation of DWIs from DPP data. This research will explicitly assess which types