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it is not required that the candidate possess a deep theoretical understanding of AI, practical proficiency in using AI will be considered in the selection process. Applicants must hold a PhD prior to
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variants as functional and assess their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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. Receiving mentorship in grant writing and navigating the publication process. Participating in career development activities through Cornell's mentoring resources and professional network. Overall
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neurodegenerative disorders. We are looking for motivated scientists who are excited about questions in how cells sense and maintain the integrity of organelles, how these processes integrate with cellular immunity
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and proteomics - used to determine how gene expression and proteins change in polyploid organisms in response to stress; have experience with confocal imaging - used to determine how cell growth rates
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://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high energy physics is required by the start of the appointment. Candidates also should demonstrate a strong record of accomplishment in data analysis and
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of Prof. Ariel Ortiz-Bobea (Dyson) and in coordination with Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource
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module and assessment development and implementation: 50% Literature review: 15% Workshop development: 15% Data analysis and writing: 20% Requirements PhD in natural resources, environmental sciences
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine