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, immunity or prevention of infectious diseases. The successful candidate will have or develop a research program that includes a laboratory component focused on one or more pathogens, at either the national
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Graduate School of Medical Sciences of Cornell University, as well as the Tri-Institutional MD/PhD Training Program. Interested candidates should visit https://www.mskcc.org/research-programs/developmental
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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What You Bring: Bachelor Degree or Associate Degree with equivalent experience in biology, biomedical engineering, or computer science Demonstrated proficiency with computers Work experience in a team
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Requirements: completed scientific university degree (e. g. Master's or Diploma) in physics, mathematics, computer science or a related field knowledge of information field theory and in the development and
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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The University of Toronto is pleased to announce the third call for applications for theEric and Wendy Schmidt AI in Science Postdoctoral Fellowship , a program of Schmidt Sciences, which brings
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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Epidemiology, Public Health, Health Data Science, or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma. Experience with R