127 big-data-and-machine-learning-phd Postdoctoral research jobs at Rutgers University
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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to Applicants PLEASE SUBMIT COVER LETTER, RESUME, AND CONTACT INFORMATION WITH THREE REFERENCES. For questions, please contact: Emily Graybill, PhD Associate Professor GSAPP Rutgers University E: Emily.graybill
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Advanced Infrastructure Center Salary Details A minimum of $61805 Offer Information The final salary
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for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department Historical Analysis Center Salary Details $70,000 Offer Information The final salary offer may be
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computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and writing of scientific manuscripts and grant applications
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate (Singson) Department Waksman Institute of Microbiol Salary Details 63698.00 Offer Information The final salary
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department Chemistry & Chemical Biology Salary Details 63968 Offer Information The final salary offer may be
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing