77 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Cornell University
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Postdoctoral Associate Academic Job Description Department of Food Science at Cornell AgriTech Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose
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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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, 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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Cornell University (5%). Qualifications: A Ph.D. in a relevant field (e.g. machine learning, ecology, biological sciences, computer science, statistics, engineering) Demonstrated quantitative skills
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science with emphasis on process development Knowledge of fabrication and operation of high pressure systems Computational competences with MATLAB and COMSOL Fluent in English, both written and spoken
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Position Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second
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Molecular Biology seeks a Postdoctoral Associate to join the research group of Professor Fenghua Hu. Details of Dr. Hu’s laboratory, ongoing research projects, and recent publications can be found at https
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Post Doc Assoc. Postdoctoral Associate in Next Generation Diagnostics Dr. Diego Diel’s Laboratory (Diel Lab) Department of Population Medicine and Diagnostic Sciences College of Veterinary Medicine
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for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the appointment Experience with programming
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techniques and have a desire to participate in a collaborative research program with frequent opportunities for mentorship and public outreach. Experience with bioinformatics or protein structure are highly