-
mix of bench science and analysis of spatial transcriptomic and bulk RNA-seq data. Key Responsibilities: · Utilize a variety of laboratory experiments and tabulate and analyze the results
-
personalized medicine. By integrating human cohorts, single-cell multi-omics technologies, and expertise in systems and computational biology, we generate high-profile research that bridges big data with
-
project at the intersection of RNA biology, cancer biology, and virology. Experience in molecular biology, data analysis, and tissue culture is required. The Wang laboratory is currently studying The role
-
analysis of large data sets Prior experience in signal transduction research Knowledge, Skills and Abilities: PhD level knowledge and understanding of basic cellular and molecular biology Expertise in cell
-
, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities : Conducting molecular biology
-
the biology and pathogenesis of acute myelogenous leukemia. The Fellow is expected to conduct research projects, to think independently, be highly motivated, design and carry out experiments, analyze data, and
-
, Dr. Cailin Collins, MD, PhD. The lab is part of a richly collaborative interdisciplinary group of basic scientists and clinicians from immunology, hematology and molecular biology backgrounds with
-
minimum qualifications at the time of hire. PhD in Computer Science, Artificial Intelligence, Human-computer Interaction, Computational Linguistics, Machine learning, Biomedical Informatics, or related
-
diagnosed and treated for pancreatic cancer Collect clinical data from patients diagnosed with pancreatic cancer, including both resected and non-resected cases, across all stages of treatment, in
-
the lab as well as other laboratories involved in team science Conduct literature searches Modify, test, verify and analyze research data Present results at lab meetings Present results at project meetings