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that are contributed by BON in a Box collaborators. This includes understanding the analysis with support from publications, the team and the contributor, testing pipelines with different parameters, fixing R and python
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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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collected as part of current CIHR funded project “Sex differences in brain aging in adults with and without risk factors for Alzheimer’s Disease” which focuses on midlife, and examines the effect of menopause
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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difference in a collaborative and multidisciplinary environment will be preferred. Applicants should have experience of programming in Matlab and/or Python. Experience with grant writing and fellowship
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., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong