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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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revealing mechanisms and therapeutic targets of early pre-malignant development of ovarian carcinoma, novel big data approaches, and development of early detection/screening tests/algorithms of ovarian cancer
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of Pittsburgh. This Lab examines the intersection of public health, epidemiology, and ophthalmology. The candidate should have a PhD in a statistics-related field and at least one year of experience in analyzing
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Professor, non-tenure stream position. Main responsibilities include: Clinical trial methodologies Study design Data analysis Minimum experience: PhD in Biostatistics with 10+ years within a Scientific
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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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medical schools in the U.S. and is located in one of America’s most livable cities. Requirements for Assistant Professor include a PhD or equivalent degree in the field of Microbiology or Immunology, 3
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materials, implementing algorithms, creating software, and investigating new approaches and technologies. Assists with conducting research, including setting up, calibrating, maintaining research records
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to create analytic data cohorts (study cohorts). Apply machine learning methods on clinical datasets to identify predictive factors – selecting algorithms, preprocessing data, training models, and evaluating
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neuroprotection, we will use advanced single-cell and spatial transcriptomics techniques. Minimum experience: 5+ years in Ophthalmology research PhD in Biomedical Sciences or similar The University of Pittsburgh is
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education is not needed. Ability to solve problems, and to structure project plans to completion must be demonstrated through previous work experience. PhD in STEM field is required for this position