71 electronic-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Rutgers University
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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, Skills, and Abilities Excellent written, verbal and computer skills required. Excellent communication and interpersonal skills. Must be able to work independently and/or collaboratively. Excellent critical
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designated lab members. Maintains department database on a computer. Candidate must have competent computer skills and be able to utilize equipment and technology in support of the assigned project(s). Must
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high proficiency in R and/or other computer programming languages. Applicants in All But Degree Status will be considered for interviews. Preferred Qualifications Experience with computational
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, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least one of the following areas: - Methodology development in wavefunction-based electronic
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control. Excellent communication, organization, and presentation skills. Ability to learn and integrate other related computer applications into existing operations. Preferred Qualifications Strong computer
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inhibitor therapy and research and technical activity related to breast cancer tissue microarrays. Operates and maintains proficiency in computer systems, equipment, and technology to support projects
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, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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preferred. Proficiency with SAS/R programming language, Microsoft Office software applications including word processing and excel, online searching, and email, and fluency with learning new software
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/or cryo-electron microscopy. - Enzymology and inhibitor characterization. - Structure-guided drug discovery or fragment-based screening. Applicants must demonstrate: - The ability to design, execute