102 parallel-and-distributed-computing research jobs at Rutgers University in United States
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degrees in biomedicine, bioinformatics, computational biology, or related fields to gain hands-on experience in a dynamic research environment. Position Status Part Time Posting Number 26FA0606 Posting Open
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communication skills are required. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications
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understanding the origin and evolution of habitable environments on terrestrial planets through theoretical, computational, and interdisciplinary approaches. Our research approaches this question from the broader
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Investigator, the Visiting Researcher will conduct experimental and computational analyses to confirm the tissue specificity of selected ligands, enabling the development of new therapeutic agents and diagnostic
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: 255863 Minimum Education and Experience: A doctoral degree in cognitive psychology, cognitive science, computer science/engineering, language sciences, or a related field is required. The applicant should
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Minimum Education and Experience Candidate must have a bachelor’s degree. Certifications/Licenses Required Knowledge, Skills, and Abilities Effective oral and communication skills. Must be computer literate
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noise. Standard computer, phone, and internet access. Data processing licenses will be provided. Special Conditions Must be willing to have a flexible working schedule for participant assessment. Posting
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MD or graduate training in a biology or relevant science. Certifications/Licenses Required Knowledge, Skills, and Abilities Effective oral and communication skills. Must be computer literate with
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and Experience Ph.D. in Neuroscience, Genetics, Bioinformatics, Computer Science or a related science is required. Ph.D. Candidates who meet requirements with All But Degree (ABD) will be considered
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to their assigned research program with minimal additional training. Candidates should demonstrate a strong record of research productivity and a commitment to advancing the academic mission of the Department