98 parallel-computing-numerical-methods-"Prof" Fellowship positions at Harvard University
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, statistical analysis of data, mathematical modeling, and communication of results, with the aim of guiding policy for climate change adaptation. Experience with theoretical and experimental methods
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postdoctoral researcher with a strong background in neuroscience. The ideal candidate will have extensive training in their Ph.D. program and be capable of independently conducting research in the field
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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January 11, for awards is February 1, and for the internship program is February 15. Undergraduate Students Graduate Students and Advanced Undergraduates Post-doctoral Fellows Early-Career Scholars (from
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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Details Title Postdoctoral Fellow in Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The John A. Paulson
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the unusual bdelloid life history (Signorovitch et al. 2015. Genetics 200: 581-590). Basic Qualifications Candidates must be proficient in advanced bioinformatic methods of sequence assembly and analysis
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of Massachusetts would be a plus but not required. Attention to detail and professionalism are highly important for the role. Experience with participant recruitment and retention methods. CITI certified and trained
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that converts your CGPA to a 4.0 scale. This can be done using a GPA conversion tool, such as Scholaro’s GPA Calculator , or by submitting a credential evaluation report from a service such as WES or ECE , which
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/or computational biology. Research will focus on both top-down and bottom-up mapping of local interactions between relatively simple dynamic entities and their emergent complex behavior. We study these