53 parallel-computing-numerical-methods positions at Rutgers University in postdoctoral
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communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications A background
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Knowledge, Skills, and Abilities Demonstrated effective oral and written communication skills. The ability to work both independently and collaboratively is also essential. Must be computer literate with
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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Special Instructions to Applicants This is a grant funded appointment, contingent on availability of funds and completion of the Ph.D degree or proper documentation indication Ph.D program is completed
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Minimum Education and Experience: Ph.D. in Electrical and Computer Engineering, Computer Science, Physics or related fields City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create a Job Match
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for developing novel diagnostic, imaging, and therapeutic strategies. Our program uses peptide- and antibody-based combinatorial library selection to discover, validate, and exploit the vascular biochemical
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implementation science theories and methods. Excellent interpersonal, verbal, written communication, and organizational skills. Experience with institutional review boards (IRB). Preferred Qualifications Prior
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communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment
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interventions for the psychological and social needs of individuals served. The Postdoctoral Associate will provide psychological testing as required by the program to increase our understanding of the issues
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surface and geological processes. The postdoctoral researcher may focus on one or more of these areas. The application and development of AI/ML methods to enhance and accelerate research is also encouraged