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are required to share this element of discovery. Take the first step to joining our team by applying now! Relevant Papers: Adetunji MO, Abraham BJ. SEAseq: a portable and cloud-based chromatin occupancy analysis
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, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Experience in cellular immunology and
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, light sheet, two-photon microscopy), multi-omics (single cell/spatial transcriptomics/proteomics, phospho-proteomics, ATACseq, metabolomics), and whole organoid level analysis (morphometry, Ca2
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and a proficient understanding of next generation sequencing, analysis, and bioinformatics), (3) project management and scientific writing experience, and (4) excellent communication skills and a
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, microbiology, bioengineering, etc.). Additional experience in molecular biology or programming-based image analysis will be much welcome. The project(s) related to this position will be quantifying and
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Experience in research and teaching Experience in the statistical analysis of complex medical data Interest in methodological research and scientific communication Interest in clinical patient-centric data
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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, or a related field. The ideal candidate will have a strong background in trade policy and energy economics, with a demonstrated ability to conduct rigorous quantitative and qualitative analysis
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to applied domains such as drug discovery Proficiency in programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Ability to think critically about experimental data
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next