Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

U.S. Department of Agriculture

USDA-ARS SCINet/AI-COE Postdoctoral Fellowship in AI-Driven Maize-Fungal Pathogen Genomics U.S. Department of Agriculture (USDA) in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Monthly stipend commensurate with educational level and experience; current range $100,000-$110,000/year; supplement to offset health insurance costs; additional funds available for supplies, travel, and relocation costs if applicable.

Deadline

Dec 4, 2026

Country flag

Country

United States

University

U.S. Department of Agriculture

Apply for this position

Keywords

Computer Science
Agriculture
Biology
Artificial Intelligence
Comparative Genomics
Host-pathogen Interaction
High Performance Computing
Protein-protein Interaction
Statistics
Mycotoxin
Bioinformatic
ML

Suggested positions

Publisher
source

University of Chicago

Country flag

United States

The University of Chicago is recruiting a postdoctoral fellow in computational and systems biology for a project on developing statistical, machine learning, and artificial intelligence methods to reconstruct and interpret gene regulatory networks. The work will use computational approaches and high-dimensional biological data to advance network medicine and complex-systems research. The project is associated with PANDA and NetZoo, methodological frameworks for analyzing and interpreting gene re...

Computer Science
Biology
Artificial Intelligence
+6 more

5 days ago

Publisher
source

U.S. Department of Agriculture

Country flag

United States

This research fellowship is based with the U.S. Department of Agriculture, Agricultural Research Service (ARS), in Logan, Utah, and is hosted at the Forage and Range Research Unit. The project focuses on turfgrass genomics, with an emphasis on building innovative tools for genome annotation and high-throughput genotyping in complex turfgrass species. The fellow will work with a mentor and collaborate with the ARS Turfgrass Working Group to assess newly developed AI tools for gene annotation, com...

Computer Science
Biology
Computational Biology
+4 more

6 days ago

Publisher
source

University at Buffalo

Country flag

United States

T15 Fellowship in Biomedical Informatics at the University at Buffalo This posting announces a NIH/NLM T15 sponsored postdoctoral fellowship in Biomedical Informatics at the University at Buffalo . The fellowship is designed to prepare trainees for careers in academia or industry through mentored research and professional development in informatics. Research and training areas include Artificial Intelligence / Machine Learning , Knowledge Representation , Natural Language Processing , Clinical I...

Computer Science
Biology
Artificial Intelligence
+8 more

3 weeks ago

Publisher
source

Saint Louis University

Country flag

United States

The Zhang Lab at Saint Louis University is recruiting a postdoctoral fellow for research at the intersection of bioinformatics, comparative genomics, structural analysis, and machine learning. The position is centered on independent computational research with an emphasis on protein bioinformatics, evolutionary analysis, and structural bioinformatics, alongside the development and application of machine-learning approaches. The fellow will contribute to manuscript and grant preparation, includin...

Computer Science
Evolutionary Biology
Biology
+8 more

1 week ago

Publisher
source

Northeastern University

Country flag

United States

This postdoctoral position is based in the Department of Marine and Environmental Sciences and the Center for Marine Ecological Genomics at Northeastern University’s Marine Science Center in Nahant, Massachusetts. The successful researcher will join the Lotterhos Lab and contribute to MacroMar, an international consortium building an interoperable database of population genomic data. The project centers on evolutionary genomics and large-scale synthesis. The postdoc will lead comparative and syn...

Computer Science
Evolutionary Biology
Population Genetics
+8 more

1 week ago

About this position

This postdoctoral fellowship is hosted by the U.S. Department of Agriculture’s Agricultural Research Service (ARS) within its SCINet/Artificial Intelligence Center of Excellence research participation program. The work is based across the Corn Insects and Crop Genetics Research Unit in Ames, Iowa, and the National Center for Agricultural Utilization Research in Peoria, Illinois.

The project focuses on AI-driven maize–fungal pathogen genomics, with initial emphasis on Fusarium and Aspergillus species. These agriculturally important fungi are studied because they affect crop disease, mycotoxin contamination, grain quality, and food and feed safety. The fellow will work under mentor guidance on integrating genome sequences, genetic variation, transcriptomic profiles, functional annotations, protein structures, molecular networks, and disease-resistance phenotypes to connect genotypes with phenotypes.

The fellowship offers the opportunity to contribute to AI and machine learning approaches in agricultural genomics, including foundation models for fungal DNA and protein sequences. The research will explore long-context DNA language models adapted to fungal genomes, genome-wide prediction of variant effects across pathogen populations, and protein language models and structural methods for analyzing protein variation and predicting maize–fungal protein interactions. The overall aim is to help identify genes, alleles, variants, and genomic loci linked to disease resistance, pathogen virulence, toxin production, and host recognition.

The training environment is strongly computational and interdisciplinary. The fellow will gain experience in host–pathogen genomics, multi-omic data integration, RNA-seq analysis, comparative and population genomics, pangenome relationships, and the development of reproducible GPU- and CPU-based high-performance computing pipelines. The role also emphasizes packaging analytical methods as reusable research software and community resources, and participation in SCINet and AI Center of Excellence meetings, seminars, and professional-development activities.

Additional opportunities may include collaboration with external AI knowledge-holders, scientific groups, students, and researchers working on computational genomics and AI methods in agriculture.

Funding details

Monthly stipend commensurate with educational level and experience; current range $100,000-$110,000/year; supplement to offset health insurance costs; additional funds available for supplies, travel, and relocation costs if applicable.

What's required

The candidate should be currently pursuing or have received a doctoral degree in a relevant field. Previous experience with both maize and fungal pathogens is not required. Candidates should have a strong computational background and interest in applying artificial intelligence to agricultural genomics. Preferred experience includes analyzing genomic, genetic, transcriptomic, or other biological datasets; sequence analysis, variant analysis, comparative genomics, or related computational genomics approaches; RNA-sequencing analysis; Linux/Unix and high-performance computing systems; Python, R, or another scientific programming language; AI/ML approaches; tools such as BLAST, MMseqs, and multiple sequence alignments; knowledge of plant genetics, fungal biology, plant pathology, or related areas; and protein-structure prediction, protein-protein interaction analysis, or structural bioinformatics. U.S. citizenship is required.

How to apply

Scroll to the bottom of the opportunity page and click APPLY. Submit an application, transcripts, a current resume/CV, and two educational or professional recommendations. All documents must be in English or include an official English translation.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.