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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
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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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working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center
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experience in diagnostic assay development, next generation sequencing and bioinformatics pipeline development. A DVM or PhD is required for this position. This position will require attention to detail
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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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operation, feedstock pretreatment and characterization, analytical measurements by LC and GC; experimental design, statistical analysis, bioprocess simulation through kinetic modeling. Additional training in
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others, developing tools to support the creation of the data, and supporting the Math+AI laboratory. We are particularly interested in candidates with experience in Lean or other proof assistant languages
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contributed by others, developing tools to support the creation of the data, and supporting the Math+AI laboratory. We are particularly interested in candidates with experience in Lean or other proof assistant
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be determined considering the following criteria: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline (faculty pay
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in