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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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postdoctoral fellow in bioinformatics. The successful candidate will lead the analysis of T-cell transcriptional networks in atopic dermatitis. For individuals with a life-science background, there will also be
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collaborations and work jointly with academic, clinical, industry, and other partners Scientifically document lab experiments, data analysis, interpretations Contribute to grant preparation, write manuscripts and
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physiology, biodiversity science or food web ecology. Strong skills in quantitative analysis and collaborative science are an asset. This is an exciting opportunity for a postdoctoral researcher interested in
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work jointly with academic, clinical, industry, and other partners Scientifically document lab experiments, data analysis, interpretations Contribute to grant preparation, write manuscripts and present
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software analyses programs Foster research collaborations and work jointly with academic, clinical, industry, and other partners Scientifically document lab experiments, data analysis, interpretations
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collaborators to integrate multi-omics (genome, transcriptome, proteome, metabolome) and clinical data Maintain high quality of detailed research data recording and analysis Provide mentorship and training
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analysis and drug response prediction Understanding and targeting cancer cells and their surroundings at the proteome level Liquid Biopsies and EVs in Childhood Cancer For our research projects in
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are required to indicate how they will account for sex (biological factor) and gender (socio-cultural factor) in the research design, methods, analysis and interpretation, and dissemination of findings. For more
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-supervise students and research assistants with structured feedback on study design, analysis, and writing. Model responsible conduct of research and mentorship best practices. Research program and compliance