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be working on the development of machine learning methods for single-cell data and will require interactions with collaborators of the team. Required skills : We expect a candidate with a strong
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to cutting-edge facilities and interdisciplinary collaborations. Mentorship and career development support, including networking and grant-writing opportunities. How to Apply Please send a single PDF including
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analyse the data to study the relationship between genetic variants associated with autism and brain development (analysing anatomical and functional connectivity data). Examples of papers from
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development and implementation of numerical methods. • Experience in scientific programming. • Familiarity with Fourier-based numerical methods is an asset. • Ability to work in a collaborative international
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models to guide safer and more effective, individualized steroid use. As such, the candidate will be responsible for data harmonization, multi-omics integration as well as the development of machine
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, and how such interplay impacts brain development (eg. gene expression) and leads to different types of autism. Send your CV along with a motivation letter to [email protected] , with
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data analysis in cosmology and astroparticle physics. These positions focus on the development and application of SBI methods in two contexts: spectroscopic galaxy surveys and the gamma-ray sky