Embark on an exceptional PhD journey focused on spatial omics and cancer studies. Utilize advanced statistical methods to unravel lung cancer mechanisms, working with state-of-the-art technologies. The position seeks a motivated PhD student to explore Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia (DIPNECH), integrating cutting-edge spatial transcriptomics and genomic profiling.
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This opportunity promises rigorous training and impactful discoveries under solid mentorship in a collaborative lab environment that champions diversity. Key Responsibilities:
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- Integrate and analyze complex spatial omics datasets
- Maintain reproducible bioinformatics workflows
- Conduct cellular neighborhood and interaction analyses
- Work alongside experts to guide research design
- Publish findings and participate in grant proposals Requirements:
- BSc or MSc in relevant scientific discipline
- Experienced in R and/or Python
- Exposure to spatial analysis frameworks
- Practical experience with spatial omics platforms
- Excellent verbal and written communication skills Leverage your skills in a vibrant research setting, engaging with multimodal data and groundbreaking discoveries around tumor microenvironments.
Apply on Kit Job: kitjob.ca/job/2eudg4
📌 Advanced PhD Research in Spatial Data Analysis for Cancer (Quebec City)
🏢 Canadian Bioinformatics Workshops
📍 Quebec City
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