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Field
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Clinical Laboratory Science, Genetics, Molecular Biology, or a related field, and must be ABMGG board certified or board eligible in Laboratory Genetics and Genomics, or Molecular Genetic Pathology, or a
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Population genomics, genetics and epidemiological forecasting Develop and maintain a nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning
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Postdoctoral Scholar to support the Center's mission to develop and exploit novel sensing technologies and the algorithms to analyze their signals for monitoring geohazards. Reporting to the Center Director and
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
zebrafish embryos Establishing biochemical and genetic assays for identifying and characterizing the role of candidate RNA binding proteins in embryogenesis Developing biochemical assays to define the role
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, the ability to engineer the genome of mitochondria, the energy-producing compartments inside our cells. Mitochondria carry their own small genome, and reliably installing new, synthetic genetic material inside
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help develop new computational models that integrate molecular reaction networks with AI/ML algorithms in order to predict patient-specific cardiac remodeling and heart disease outcomes across human
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fields, develops the algorithms that power the information age, and is committed to creatively and thoughtfully exploring technology's potential to advance our world. Cornell Bowers is home to more than
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documentation of experiment results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets (high-throughput, massively
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parallel execution of various processes within the cell, such as storage and expression of genetic material, protein synthesis, or energy production. To fulfill their roles, organelles must contain distinct
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within the department. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic