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Field
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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characterization, and electrochemical evaluation of sulfur cathodes in both coin-cell and pouch-cell formats. This role includes establishing correlations between the physical and chemical properties of sulfur
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at the systems level. By integrating groundbreaking multiomic methods at the single-cell level with advanced experimental models, such as human organoids, the laboratory maps the molecular and cellular mechanisms
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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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Posting Details Position Details Title Postdoctoral Appointee Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Anatomy, Cell Biology & Physiology Campus IU School of Medicine
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This two-year ERC-funded postdoctoral researcher position will involve establishing single-cell transcriptomic atlases for the eyes and optic lobes of three invertebrates with unique and elaborate colour
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, differentiation, stress response, and apoptosis, yet it remains unclear whether these processes follow conserved organizational principles across cell types and experimental systems. Large-scale fluorescence
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publication record in sensing systems, mobile health, or HCI. Experience with signal processing, machine learning, or embedded systems is a plus. Carnegie Mellon University is an equal opportunity employer. It
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manuscripts and research grants. The overall focus of this post-doctoral research position is the development of self-renewable induced pluripotent stem cell-based therapies for the prevention and management