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notebook, recording all experimental work, and maintain common database of all processed sample data. A bi-weekly report that underlines the experiments performed, the results obtained and their analysis
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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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of cells or tissues from mouse organs, and analysis of cell/tissue function using biochemical methods, flow cytometry, and immunofluorescence. Will assist with stereotaxic surgery and injections in mice
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 26 days ago
statistical analysis of large clinical data. A curious, collaborative, and cross-disciplinary mindset. Good subject knowledge and experience in cell culture will be a plus. Proficient in English (oral and
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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of the lab When requested, the RA will manage the progress of individual research projects Maintaining equipment in the Krock lab, including that purchased with CFI funds Qualifications: Proficiency with data
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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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
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. Experience with total internal reflection fluorescence (TIRF) microscopy. Ability to perform image analysis and processing (e.g., ImageJ/Fiji) The following backgrounds are considered an asset or highly