25 parallel-processing-bioinformatics Postdoctoral positions at Cornell University in computer-science
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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
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. Requirements PhD Degree in computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using
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science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should demonstrate quantitative/qualitative research
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Jobs Online. Optional: course proposal with sample syllabus for upper-level undergraduate course related to AI Employment Assistance: For specific questions about the position or application process
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] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop open data and computational
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: The selected candidate will: Design, fabricate, and characterize advanced MEMS/NEMS test structures and integrated devices using Cornell NanoScale Facility processes, working closely with collaborators across
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: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email [email protected] . If you require an accommodation for a disability in
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education is relevant to the position. Academic Discipline Unique applicable skills. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter
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. Demonstrated proficiency with quantitative systems modeling (e.g., mechanistic, process-based, dynamic, and/or life cycle approaches). Expertise in management of livestock production systems and the associated
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: The selected candidate will: Design, fabricate, and characterize advanced MEMS/NEMS test structures and integrated devices using Cornell NanoScale Facility processes, working closely with collaborators across