73 parallel-computing-numerical-methods Postdoctoral research jobs at Cornell University
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are especially encouraged to apply. Experience in advanced numerical methods is preferred, but not required. Applications should include: Complete CV Publication List Research Statement (1-3 page) 3 letters
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, computational methods and theories for humanistic and social scientific inquiry, and the ethical, political, or historic dimensions of artificial intelligence but we will consider outstanding applicants working
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, operations research, or statistics). An ideal candidate would have proficient programming skills and demonstrated experience in computational modeling (particularly integrated assessment or power systems
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approaches, including machine-learning methods, that improve the identification or enumeration of overlapping vocal individuals. Array localization, spatially explicit capture-recapture, distance sampling
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studies will also be considered. Computational methods, content analysis, surveys, and other methods can be used complementarily, but should not be the primary method. Viable path towards access
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, biological sciences, computer science, machine learning) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Previous experience developing statistical methods or working
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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning
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, independence, leadership abilities, problem-solving skills, and a passion for hands-on wet lab and computational work. Strong interest in all aspects of the scientific study process is required and possibilities
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, Applied Mathematics, Computer Science, Statistics, Public Health, Economics or related computational field. Demonstrated experience in epidemiological methods, preferably using national mortality datasets
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related computational field. • Demonstrated experience in epidemiological methods, preferably using national mortality datasets and/or case-crossover analyses, and have a promising publication record