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ability to work in a team Desirable Experience in bioinformatics analysis of single cell data (chromatin and RNA) Experience in myeloid cell development and ontogeny Application Process The following
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therapeutic strategies to promote these beneficial immune states. Position Overview The Postdoctoral Fellow will lead multi-omic data generation, integration, and analysis to dissect immune–tumour interactions
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-country survey datasets for comparative analysis. Conceptualize and refine a theoretical framework integrating intersectionality and stigma processes. Develop and code a Bayesian meta-regression to pool and
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link these to mechanical properties. To be done in partnership with Hydro-Québec. The potdoc will develop both advanced computing and numerical analysis skills, as well as acquire new knowledge in
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economics, public finance, economic development, planning, urban studies, geography, sociology, political science, law or another field which draws upon the skills required for the analysis of public policy
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generation, integration, and analysis to dissect immune–tumour interactions in pediatric gliomas. The successful candidate will work closely with clinical, experimental, and computational collaborators across
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applicant will be working on applying single molecule fluorescence microscopy and super-resolution microscopy techniques to study: i) the interactions between plasmonic metal nanoparticles and fluorescent
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, such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, FORTRAN) Prototype algorithms, validate outputs, and document methods clearly Qualified and interested applications are invited
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA