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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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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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-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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, 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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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
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. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators. Requirements: Applicants should have a PhD in Computer Engineering, Computer
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis