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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and
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) to work at the forefront of precision agriculture and contribute to the development of cutting-edge tools and methodologies that advance crop science and sustainable agriculture practices. The successful
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research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial proteomics, imaging mass cytometry) to study the tumor microenvironment
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and equipment; coordinate with administrative staff for ordering and service contracts Required Qualifications: Master of Science Degree in Life Sciences or a related field. 5 years of relevant lab