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isolate the effects of the chromosomal abnormality from other genetic variation (Lee et al., bioRxiv 2025). This project will expand on this work by generating additional patient-derived models, performing
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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. Xiaojie Qiu (Genetics & Computer Science) (link is external) and Dr. Matteo Molè (Obstetrics & Gynecology) (link is external) . Our goal is to explore the “black box” of early human pregnancy by mapping
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and
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. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will involve both method
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, genetics, molecular biology, and/or computational biology. Ability to work well in a multidisciplinary, diverse, and collaborative research environment. A genuine passion for science, and creative thinking
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: Experience with molecular virology of HIV or EBV including assay development and reverse genetics OR Experience with cell/molecular biology and protein biochemistry/biophysics, including recombinant protein
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leads that target undrugged proteins or proteins prone to drug resistance. 3. Combining mass spectrometry with genetic perturbations to mechanistically define protein function. 4. Developing automation
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transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics, biostatistics
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computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to complete detailed