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PhD in Biochemistry, Molecular and Cellular Biology, or related area. Strong interest in basic and translational research. Strong work ethic, meticulous and detail-oriented record keeping habits
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: PhD or M.D. in bioinformatics, computational biology, genomics, computer science, biostatistics, biomedical sciences, or a related field. Strong experience in bioinformatics and analysis of high
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interns. Your qualifications should include: · PhD in Molecular, Cellular, or Developmental Biology. · Strong interest in diabetes research. · Extensive experience with basic
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machine learning. The successful candidate will develop and apply methods that integrate multimodal molecular and clinical data (genomic, epigenomic, transcriptomic) across serial patient timepoints
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: · PhD in Cancer Biology, Molecular Biology, Genetics, Pharmaceutical Sciences, Immunology, Biochemistry, Biomedical Sciences, or closely related field or M.D. in hematology or oncology related field with
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liquid biopsies. Design and apply state-of-the-art AI/ML methods to uncover mechanisms of disease progression, predict treatment response, and develop clinically actionable precision oncology models
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method development, data analysis, and experimental design. Integrate information from high-throughput screens, proteomic data, and next-generation sequencing data to generate and validate hypotheses
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eligible for NIH T32 postdoctoral training fellowship in the DNA-damage-response-and-oncogenic-signaling program. Your qualifications should include: PhD in Cancer Biology, Molecular Biology, Stem Cell
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multiple PET/CT scanners, and radiation delivery systems including PET-guided radiation therapy. Your qualifications should include: A PhD in Physics, Engineering, Computer Science, or related field
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through cutting-edge research. We are seeking a highly motivated Postdoctoral Fellow to join the laboratory of Andrea H. Bild, PhD , Professor in the Department of Medical Oncology & Therapeutics Research