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to develop and validate assessment tools for CT (Pasquinelli et al., 2020, 2023). Specifically, the project will: (1) validate a French version of an existing CT assessment instrument (using data already
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an international research team. How to apply Please note that applications consisting only of a CV will not be considered. Applications must be submitted as one single PDF file and include: cover letter indicating
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formulation, rheological properties of suspensions), as well as the ability to work in a laboratory to obtain experimental results. A solid command of experimental concepts and of fundamental tools
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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following expertise: Early fly and mouse development Quantitative imaging and image analysis Statistical physics and data analysis Microscope design and control Genomic and genetic tool design Candidates
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-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated into clinically actionable biomarkers and decision-support tools that underpin