The Postdoctoral Associate will work at the University of Maryland College Park in the Shahoveisis lab and will work on applied and basic research projects related to turfgrass disease identification and management The postdoctoral associate will be expected to be an independent and collaborative team member in research and extension activities Candidates should have background and expertise in one or both of the following fields Plant and Pathogen GeneticsSkills including conducting PCR and qPCR tests bioinformatic tools for variant calling genome wide association studies GWAS and bi parental mapping analysis Machine Learning and Statistical AnalysisProficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease identification and prediction via software such as Python and R Also background in field design and statistical data analysis in the context of agriculture and applied plant pathology Key responsibilities Designing and conducting research objectives in the Turfgrass Pathology Program Collect data conduct analysis interpretation of results under the PIs supervision Publish and present research findings in scientific journals and conferences Collaborate with interdisciplinary teams within and outside the institution Contribute to the development of research proposals and grant applications