24 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"universidade-de-Aveiro" Fellowship positions at City of Hope
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, Cancer Biology, Chromatin Regulation, Cancer Epigenetics, Epigenetics Regulation, Cancer Metabolism, Immunology, Drug Discovery, Development, and Structural Biology, with an emphasis on RNA epigenetics
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career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular
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physiology and pathogenesis. 2) Development of novel drugs to treat MASH, diabetes, and cancer. For more information on Dr. Wendong Huang’s research, please visit here . Your qualifications should include
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Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is
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highly motivated postdoctoral fellow to study transcriptional regulation and RNA metabolism in normal development and human diseases, such as neurological disorder, immunology, and cancer. In particular
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publications and scientific presentations and engage in lab meetings, seminars, and professional development activities. Your qualifications should include: · Candidates must hold an MD or PhD
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evolution. Our work builds on experience developing pangenome graph construction and analysis tools (PGGB, ODGI, IMPG) and contributions to the Telomere-to-Telomere Consortium and Human Pangenome Reference
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: · Contribute to the development of CD38 antibody‑drug conjugates (ADCs) and other multiple myeloma targets, including monoclonal antibody (mAb) engineering, ADC conjugation, biophysical characterization (SPR
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of Hope. This role offers an exciting opportunity to investigate immune checkpoint signaling within the tumor microenvironment and contribute to the development of novel anticancer therapies
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics