84 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Cornell University
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-of-the-art analytical instrumentation and computational resources. Required Qualifications: A PhD in microbiology, microbial ecology, molecular biology, biochemistry, chemical biology or any relevant fields
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Post Doc Associate This postdoctoral position is funded by an R01 grant (1R01AG082954-01) from the National Institute on Aging in collaboration with Northwestern University. The project is titled
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. Desired Qualifications: Experience developing reproducible workflows (e.g., coding scripts compatible with the program R). Experience related to using participatory science and/or opportunistic data sources
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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
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%); • Assist in the development of proposals for external funding for research projects. (5%) Requirements Required qualifications: - A PhD degree in synthetic or molecular biology, microbiology, biotechnology
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applicant will be experienced in bacterial genetics and molecular biology techniques and have a desire to participate in a collaborative research program with frequent opportunities for mentorship and public
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PhD in microbiology, microbial ecology, molecular biology, biochemistry, chemical biology or any relevant fields with a dissertation that includes a focus on host-microbe interactions, microbial
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required. Additional beneficial but optional skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit
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Human Rights Council. Requirements: Candidates must hold a PhD by the start of the appointment in any of the following areas- Political Science (with a focus on International Relations), Sociology, Law
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. Desired Qualifications: Experience developing reproducible workflows (e.g., coding scripts compatible with the program R). Experience related to using participatory science and/or opportunistic data sources