40 parallel-processing-bioinformatics-"IMB" Postdoctoral research jobs at Texas A&M University
Sort by
Refine Your Search
-
, Bioinformatics. Why Work at Texas A&M AgriLife? When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range
-
is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents
-
collections. Responsibilities: Carry out bioinformatic analysis of mammalian genome sequence data and generating novel genome assemblies Use computer software for genome assembly, sequence alignment, and
-
research resource for the department, ensuring reliable study execution and operational support for faculty research. In parallel, the postdoc will advance their own research program and collaborate with
-
Knowledge, Skills, and Abilities A solid understanding of key processes in coastal ocean, basic hydrology, sediment transport, and biogeochemical process. Other Requirements and Factors This position is
-
and experience. Location/Schedule: Houston, TX/Full-Time Apply! Submitting a cover letter, CV/Resume to assist us with the review process. You may upload these documents on the application under CV
-
and experience. Location/Schedule: Houston, TX/Full-Time Apply! Submitting a cover letter, CV/Resume to assist us with the review process. You may upload these documents on the application under CV
-
recommended and will help us with the review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and
-
/Resume to assist us with the review process. You may upload these documents on the application under CV/Resume. Required Education and Experience Appropriate PhD in a related field. Preferred
-
, Co-PIs and assigned staff Implement project activities Functional Area 2: Data Acquisition Percent Effort: 40% Participate in field and laboratory-based project activities to acquire data Process and