864 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" positions at Cornell University in United States
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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, United States of America [map ] Subject Areas: Data Science Bioinformatics / Clinical , Computer Science , Mathematics , statistics Nutrition Medicine Public Health (more...) Epidemiology Salary Range: $62,232 to $88,745
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experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions, insect herbivores, and natural history is
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or neuroscience are encouraged to apply. Details of Dr. Hu’s laboratory, ongoing research projects, and recent publications can be found at https://hu.wicmb.cornell.edu/ . Successful candidates should have a recent
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statement outlining experience, interests, and goals, 5) three representative publications, and 6) names and contact information for three references. Materials should be submitted online to: https
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, United States of America [map ] Subject Areas: Microbiology / Microbiome Data Science / Data Analysis Molecular Biology Biochemistry Salary Range: $62,232 to $88,745 Appl Deadline: (posted 2026/03/23 04:00 AM
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: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Finance / Grant Writing Quantitative Analysis Data Analysis research Artificial Intelligence Appl Deadline
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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existing programs that can evolve with organizational needs, new partnerships, or new grant initiatives. Application Instructions In the My Information section be sure to enter your full name, address
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing