115 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
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and vision sufficient for standard laboratory operations and computer data entry and analysis. Lifting up to 25lbs. WORK ENVIRONMENT: Lab environment. Universal precautions are mandatory. Special
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PHYSICAL DEMANDS: Standing, sitting, walking, talking, or hearing. No special vision requirements. Must be able to lift or exert force up to ten (10) pounds. WORK ENVIRONMENT: Clinical/Office/Laboratory
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. Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period and must be able to operate specialized
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Internal Number: 260339 Minimum Education and Experience: PhD in atmospheric science, environmental science, environmental chemistry or related fields. City: New Brunswick State: NJ Location: Cook (RU-New
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various genomic datasets Effective spoken and written English required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP
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Qualifications Equipment Utilized Physical Demands and Work Environment Overview Candidates must have the ability to work independently as well as collaboratively within a diverse group and be willing to learn
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Effective oral and written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint
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, and Abilities Effective oral and written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and
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, or qPCR. Utilize viral vector techniques to obtain cell-type specific neuronal gene transduction manipulations in vivo. Use specialized computer skills to analyze data, like Graphpad Prism, Pathfinder, and
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory