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wildlife agencies in North Dakota, Kansas, Wisconsin, and Ohio. This work will include: Development of multiscale habitat models to estimate abundance Use and development of machine learning algorithms
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network programming (e.g., C/C++, Java, Python, or equivalent) and machine learning (e.g., TensorFlow and PyTorch) frameworks. Excellent communication and writing skills with a good balance of independence
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the field of artificial intelligence and networking. Candidates should be well-experienced in network programming (e.g., C/C++, Java, Python, or equivalent) and machine learning (e.g., TensorFlow and PyTorch
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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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, 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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BCaBAs, RBTs and master’s students enrolled in ABA programs at The Ohio State University and other institutions. Instruct 1:1 and in group settings developmentally disabled individuals. Conduct skills
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, while also allowing them to apply their skills to real-world neurology practice. The program combines didactic learning, hands-on research experience, and mentorship to ensure that fellows become adept