61 phd-in-computational-neuroscience Postdoctoral positions at Northeastern University
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disseminating results via conferences, talks, and first-author manuscripts. Experience in some of these methodologies is required. Qualifications: Applicants should have a PhD degree (or PhD candidates in
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, that will work halftime with the NU Public Evaluation Lab (NU-PEL) on the evaluation of the Boston Area Youth Direct Cash Transfer (BAY-CASH) program and half-time with Dr. Jonathan Zaff on a research
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About the Opportunity JOB SUMMARY The Dong Theoretical and Computational Chemistry Lab at Northeastern University seeks an enthusiastic postdoctoral researcher to start as soon as possible
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
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(5%) REQUIRED QUALIFICATIONS Degree – Minimum of PhD degree in Physics, Biology, Bioengineering, or Chemistry is required, or in a field that is relatable to the Nanoscale Biophysics Laboratory’s
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving
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and write research papers, presentations, grant proposals, etc. Assist with laboratory management; and training graduate students. QUALIFICATIONS PhD required in nutrition, bioinformatics, physics
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling