128 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "CERIC ERIC" Postdoctoral positions at Rutgers University in United States
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biology, preferred. Background in immunology or cancer biology research preferred. Experience with mouse colony management and mouse experiments in vivo is highly preferred. Computer literacy with
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. Proficiency in written and oral English and computer literacy with Excel, Word, and PowerPoint is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Experience and willingness to handle
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duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Must have the ability to work collaboratively and
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. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will require competitive applicants
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proficiency in MS-office applications required. Requires knowledge of Microsoft office and other computer related skills. Command of the English language must be at a skill level necessary to produce materials
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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. More information about the lab can be obtained at https://deaconesculab.com Position Status Full Time Posting Number 25FA0742 Posting Open Date Posting Close Date Qualifications Minimum Education and
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descriptions of current projects, please visit our lab website: https://sites.rutgers.edu/tina-liu-lab/ Under the direction of the Principal Investigator (PI), Dr. Tina Liu, the Postdoctoral Associate will
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of Neurosurgery is seeking a graduate of a MD or PhD program preferably with a background in basic sciences, particularly in skull-based Neurosurgery. This individual will work under the supervision of Dr Anil
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele