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Opportunity at Defense Forensic Science Center (DFSC)

Collection and Protocols for Forensic DNA Mixtures

Location

Defense Forensic Science Center

RO# Location
09.01.01.B7712 Forest Park, GA 302975205

Advisers

Name E-mail Phone
Salyards, Jeff michael.j.salyards.civ@mail.mil 404.469.7107

Description

To reach our objectives, we are developing techniques for advanced forensic DNA mixtures analysis and interpretation, and require an experimental study to supplement our numerical analysis. Currently, mixed DNA sample analysis faces many challenges in linking an individual to a crime scene or location and as a result, multi-contributor DNA samples provide limited information or are not analyzed. However, in environments faced by an expeditionary military force, evidence linking a group of individuals could be of monumental importance. The numerical results are very promising, but lack a foundational experimental study to support our numerical algorithm. For example, a study on the variability of the quantity of DNA recovered in mixed, low-template samples does not appear in the literature. In addition, fundamental concerns such as stutter, drop-ins, and drop-outs have not been studied for multiple contributor scenarios and this data will be crucial for the development of our novel mixed DNA analysis algorithm. There is an enormous wealth of unanalyzed intelligence information hidden within mixed DNA samples, but we require the experimental data to complete our unique numerical analysis algorithm. This research will ultimately enable tracking, group identification and probability analysis of individuals in the group. This study will result in a paradigm shift in the analysis and handling of mixed DNA and its collection. Prospective applicants should have a strong background in Forensic DNA, Genomics Biology, and/or Chemistry. The strongest candidate will be familiar with the operation of traditional forensic DNA profiling equipment.

 

Keywords:
DNA mixtures; Mixtures analysis and interpretation; Statistics; Pattern recognition; Data mining; Forensics;

Eligibility

Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants
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