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of molecular biology and engineering methods to understand how metabolic spatial structure affects cancer progression, using specialized microfluidic chambers. The postdoc will analyze and present data
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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appointment will be for one year; funding is available for yearly reappointment contingent upon satisfactory performance. Minimum Education Required PhD in Health Psychology or related discipline. Required
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Information: Required Education: PhD in cell biology, molecular biology, microbiology, immunology, or related discipline. Required Experiences: A strong publication record, problem solving ability, and
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data integration. · Familiarity with machine learning methods (e.g., classification models, dimensionality reduction, clustering). · Experience analyzing epigenomic data · Prior work in hematologic
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to characterize the genetic basis of human cancers; develops, adopts and implements new laboratory methods to achieve characterization of the genetic basis of human cancers; identifies novel genes and examines
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methods in brain imaging, including MRI/fMRI principles, neuroimaging study design, preprocessing and analysis pipelines, quality control, visualization of brain imaging data, and interpretation
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, hearing science, or a related field. Applicants must demonstrate strong research skills, proficiency in data analysis and statistical methods, and exceptional written and verbal communication skills
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responsible research practices. Minimum Qualifications: A doctoral degree, such as PhD, MD, MD/PhD, or equivalent, in Biomedical Engineering, Neurobiology, Neuroscience, Cell Biology, Molecular Biology, or a