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of projects to sponsors, as well as lead themed research activities under the umbrella of the funded programs. Given the research focus of LEARN-CS, the candidate is expected to have research experience with
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, exhibition, series of workshops, etc.). The post doctoral scholar will also be expected to teach one undergraduate course in spring semester 2025. Minimum Education Required PhD in Anthropology or related
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biology, genetics, bioinformatics, and machine learning/AI. A strong immunology background and expertise in cloning and gene editing techniques (lenti-/retro-virus and/or CRISPR) are essential
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. An interest in learning native mass spectrometry, or past experience with native mass spectrometry, general mass spectrometry, or mass spectrometry instrument development, is desired. A candidate should have
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interested in candidates who can leverage machine, deep learning, and statistical methods to monitor species distributions and integrate biodiversity records from multimodal data sources to understand
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Institute Department: Engineering | Computer Science and Engineering Work with an interdisciplinary team on convergence towards developing knowledge-guided foundational machine learning models for answering
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, Agricultural and Biological Engineering Conduct the simulation studies using Soil & Water Assessment Tool (SWAT); Development of the machine learning model, utilizing both remotely sensed and ground truth data
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international governance, imperial legal reform, provincial bureaucratic expansion, and ordinary people’s encounters with the law. The Post-Doc will also teach one course for the department. Requirements: PhD in
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, industry partners, academic institutions, and the public. The candidate will have an opportunity to learn or become more proficient in taxonomic identification of arthropods, molecular techniques, survey
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://akkayalab.org/ ). This project, funded by the NIH, presents a unique chance to delve into cutting-edge research at the intersection of T cell biology, genetics, bioinformatics, and machine learning/AI. A strong