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science, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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quantification. You will research and develop frontier analysis methods, including machine-learning approaches, for the accelerated interpretation of x-ray scattering data. You will develop multi-modal data
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dependent upon years of experience (NIH Post Doc pay scale) Type of Position Student Position Time Status Full-Time Required Education PhD, DrPH, or other doctoral degree in public health, sociology
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, bioinformatic and machine learning approaches to identify biomarkers and molecular pathways underlying cognitive decline, Alzheimer’s disease, cardiometabolic diseases (e.g., type 2 diabetes, cardiovascular
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single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
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production; to further develop and calibrate algorithms for tagging boosted Higgs boson decays; to explore novel applications of machine learning to particle physics data analysis and detector hardware; and to
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engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems
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to editorial staff or journal for timely publication, composes and presents research at conferences; directs research personnel. Minimum Education/Experience Requirements: PhD or MD/PhD required; Considerable
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applied to amorphous materials. You have familiarity with artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis
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participatory science focused on birds. The Lab is a vibrant unit within Cornell's College of Agriculture and Life Sciences. Staff at the Lab publish research, teach courses, advise students and postdocs, collect