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. Excellent written and verbal communication skill Ability to work independently and as part of a team. Preferred but not required: expertise in bioinformatics for scRNA-seq data analysis (e.g., Seurat, Cell
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, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research. Experience in organoids development, next generation sequencing (NGS)-based, single cell
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biology, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research. Working knowledge of laboratory techniques in molecular biology, cell biology
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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interpreting research results, and independently writing up results of analyses. Required Qualifications* PhD in Biostatistics or Bioinformatics. 7-10 years of experience in systems analysis/programming
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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
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molecular biology techniques Minimum five years experience in managing genetically modified mouse colony Minimum three years experience in large-scale data analysis using bioinformatic tools Proficiency in
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studies, data science, bioinformatics, artificial intelligence, and clinical and translational research. Candidates will be responsible for performing reading, thoughtful analysis and synthesis
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animal models. They will lead the modification of existing bioinformatic approaches and develop new tools for data analysis. The individual should be familiar with R or Python-based tools to analyze