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highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate
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, and systems-level approaches with advanced model systems—including organoids and in vivo disease models—to investigate mechanisms regulating epithelial homeostasis, host–pathogen interactions, immune
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Lab Research 70%; Computer Research 10%; Field/Greenhouse Research 5%; Writing and manuscripts 10% Requirements Required: PhD in Plant Biology, Entomology, Microbiology, or a related field. Experience
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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. Qualifications Completed or soon-to-be-completed PhD in Data Science, Network Science, Computational Social Science or related fields. Solid knowledge in network and Data Science, programming in Python or R, and
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PhD in microbiology, microbial ecology, molecular biology, biochemistry, chemical biology or any relevant fields with a dissertation that includes a focus on host-microbe interactions, microbial
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an impact on human health and the environment. The mission of the new Electrification for Health program is to improve health through clean electric systems that reduce air pollution indoors and outdoors and
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity