1,068 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" Fellowship research jobs in United States
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target trial emulation: Developing and Applying advanced causal inference methods to analyze real-world data (e.g., OLDW) Scientific writing: Publishing leading biostatistical and clinical journals Data
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information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list One educational or professional recommendation All
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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, and non-ordinary states induced by psychoactive compounds. Responsibilities include experimentation and data collection in human participants using functional MRI (fMRI), electroencephalography (EEG
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Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job
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. This position reports to Steven Fransblow, BSA Chief Data & Technology Office. Minimum Qualifications: Recent Brandeis undergraduate (all majors encouraged to apply, including but not limited to politics
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography