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& Hematopoietic Cell Transplantation. Dr. Diamond’s research team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied
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direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology
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considered if willing to learn. Interest in tumor metabolism and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing
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University of Pennsylvania | Pennsylvania Furnace, Pennsylvania | United States | about 2 months ago
. This highly collaborative project adapts proteomics, genetics, bioinformatics and CRISPR/Cas9 editing to reveal this overlooked but essential form of retrotransposons-based regulation in development, fertility
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metabolism Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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understanding of the 200 diseases we call “cancer”. The Opportunity The PDF will leverage genomics technologies and bioinformatics analysis to explore the genomic and epigenomic alterations found in cancer
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Genetic Studies: Support studies on genetic variants affecting drug metabolism, particularly those relevant to Asian populations. Work with bioinformatics and clinical collaborators to interpret
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when