Postdoctoral Research Fellow – Asteraceae Comparative Developmental Genomics

Laplace Apply; Clemson (SC); Presencial; USD 52.000 - 68.000; Jornada completa

Descripción de la vacante

Clemson University invites applications for a Postdoctoral Research Fellow in Asteraceae Comparative Developmental Genomics. The fellow will join the CapituLab to study gene duplications and developmental variation across sunflower-family plants, deploying transcriptomic analyses, mapping populations, and target capture sequencing.

Expect mentorship of students and collaboration within a molecular genomics program.

Formación

• PhD in a relevant field with a documented record of genomic research excellence.
• Experience in plant molecular genomics and computational genomic analysis.
• Experience with transcriptomic analyses and target capture sequencing is advantageous.

Responsabilidades

• Conduct comparative developmental transcriptomic analyses in Asteraceae.
• Develop interspecific mapping populations and use target capture sequencing to characterize duplicated genes.
• Provide laboratory supervision and mentoring to undergraduate and graduate researchers.

Conocimientos

Plant molecular genomics

Computational genomic analysis

Transcriptomic analyses

Educación

PhD in a relevant field

Herramientas

R

Python

Descripción del empleo

Postdoctoral Research Fellow – Asteraceae Comparative Developmental Genomics

Clemson University

United States

Full consideration by 1 November 2026; review continues until filled.

About This Opportunity

Clemson University advertises Postdoctoral Research Fellow – Asteraceae Comparative Developmental Genomics, focusing on comparative genomic investigation of gene duplications and development in sunflower-family plants.

At Clemson University, this full-time twelve-month postdoctoral fellow joins the CapituLab to study how gene duplications and developmental variation emerge across diverse plant taxa in the Asteraceae family. The researcher conducts comparative developmental transcriptomic analyses, develops interspecific mapping populations, and uses target capture sequencing to characterize duplicated genes. Laboratory supervision and mentoring of undergraduate and graduate researchers form part of the responsibilities. Plant molecular genomics, computational analysis using command-line tools, R or Python and preferred HybSeq experience are particularly relevant. The planned starting date is 15 January 2027. The full-consideration date is 1 November 2026; review continues until filled. Academic preparation and entry profile: PhD in a relevant field and a documented record of genomic research excellence. Application timing: Full consideration by 1 November 2026; review continues until filled. Who This Opportunity Is Best Suited For: Based on the documented project scope, this opportunity may be particularly suited to applicants whose preparation includes PhD in a relevant field and a documented record of genomic research excellence; researchers interested in working with Comparative developmental transcriptomics, Interspecific mapping populations, Target capture sequencing, R, Python. This is an editorial fit assessment, not an admissions determination. Potential Challenges / Who May Find It Less Suitable: Relevant considerations are the specialized technical breadth may require significant preparation. The exact implications depend on the stated eligibility and appointment terms. Overall Opportunity Assessment: The distinctive focus is comparative genomic investigation of gene duplications and development in sunflower-family plants. Applicants should weigh the verified research methods, qualifications and any stated funding or mobility conditions against their research goals.

Comparative genomic investigation of gene duplications and development in sunflower-family

Level

Postdoc

Field

Comparative genomic investigation of gene duplications and development in sunflower-family plants

Organization Type

University

Requirements

Education

PhD in a relevant field and a documented record of genomic research excellence.

Experience

• Plant molecular genomics
• Computational genomic analysis