Employer
School of Agriculture (FCA) – UNESP, Botucatu - SP, Brazil
Description
Field of Knowledge: Agrarian Sciences / Forest Resources and Forest Engineering / Plant Genetics and Breeding
FAPESP Grant Number: 2025/16608-5
Project Title: C-effect in focus: unraveling decades of uncertainty with an epigenomic approach
Area of Expertise: Forest Breeding / Epigenomics / Molecular Biology / Bioinformatics / Vegetative Propagation
Number of Positions: 1
Fellowship Value: R$ 12,570.00 monthly (consult the current FAPESP Fellowship values at fapesp.br/valores/bolsasnopais). It includes a Technical Reserve equivalent to 15% of the annual fellowship value to meet unforeseen expenses directly linked to the research activities.
Principal Investigator: Prof. Dr. Evandro Vagner Tambarussi
Unit/Institution: School of Agriculture (FCA) – UNESP, Botucatu Campus
Application Deadline: August 21, 2026
Start Date: 1st day of the immediate month upon FAPESP approval
Location: Botucatu, São Paulo
E-mail for Applications: [email protected]
Activities and Context: The postdoctoral fellow will investigate the epigenetic mechanisms underlying adventitious rooting and the “C effect” in forest tree species, integrating genetics, next-generation sequencing (NGS), and bioinformatics. Responsibilities include tissue sampling, DNA extraction, whole-genome bisulfite sequencing (WGBS), epigenomic pipeline development, DMR identification, multi-omics data integration, field experiments, phenotyping, data management, FAPESP reporting, and publication of scientific articles.
Candidate requirements
Mandatory Requirements
· Hold a Ph.D. obtained no more than seven years ago in the fields of Forest Science, Forest Engineering, Genetics and Breeding, or related areas.
· Consolidated mastery of advanced molecular biology techniques and high-quality nucleic acid extraction from diverse matrices, and proven experience with NGS platforms.
· Knowledge of bioinformatics, handling large volumes of biological data, and programming languages geared towards statistical analysis and genetic/genomic data, including the development and optimization of analysis pipelines.
· Ability to conduct nursery/field experiments and aptitude for working in a multidisciplinary team.
Desirable Requirements
· Knowledge of advanced statistical modeling, generalized linear mixed models (REML/BLUP), and integration of omics data.
· Aptitude for co-advising undergraduate and graduate students.
Further details
Possible start of employment: Thursday, 01 October 2026.
Contract: Full-time, Fixed-term
Salary: R$ 12570 monthly
Please mention Science HR when applying
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