Sort by
Refine Your Search
-
., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
-
-generation sequencing data Programming skills (e.g., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence
-
in New York. This individual will be required to identify and implement effective integrated pest management programs for multiple potato pests without using neonicotinoids and insecticides known to be
-
health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
-
detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high
-
pest management programs for multiple potato pests without using neonicotinoids and insecticides known to be harmful to beneficial insects including honeybees. Additionally, the susceptibility
-
team, contributing to design, data collection, policy analysis, prototyping, and dissemination. Candidates with expertise in any area—policy, AR/VR tools, community engagement, or programming
-
an Individual Development Plan. This is a hybrid position with the possibility of remote work. Some travel will be required. Empty heading Application ProcessEmpty heading Postdoctoral researchers will work under
-
major pests of potato in New York. This individual will be required to identify and implement effective integrated pest management programs for multiple potato pests without using neonicotinoids and
-
related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling