44 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at Duke University in United States
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policies pertaining to other schools at Duke University. The postdoc candidate is expected to: 1) Develop novel methods for incorporating scientific machine learning in solving problems in solid mechanics
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of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization
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of development economics combined with field experience in LMICs, ideally experience in one or more of the five focal countries for the research (Kenya, Tanzania, Uganda, India, Ethiopia). DESIRED QUALIFICATIONS
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fellow will play a critical role in developing and scaling automated platforms for long-term mammalian cell culture, including systems for stem cell maintenance and differentiation. These efforts
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translational studies of patient samples, such as scRNAseq, metabolomics and proteomics, to develop an accurate model of JDM. The model will serve to better understand disease triggers, identify more helpful
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projects aimed at developing resource responsible, economically viable solutions to challenges in the food production and critical material systems. There will be the opportunity to mentor students, teach
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(EBCL) directed by Dr. Junfeng Zhang whose research team develops and applies biomarkers of environmental exposure and health effects in humans. The new postdoc will be participating in discovery research
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conduct policies about other schools at Duke University. Compliance with all applicable University and departmental policies and procedures. The postdoc candidate is expected to: 1)Development of machine
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. Responsibilities include: - Development of new and implementation and modification of existing experimental procedures. - Data preparation and contribution to oral presentations, grant applications, and publication
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the dynamics of microbial communities in time and space. Ongoing projects address questions on bacterial responses to antibiotics, the implications of horizontal gene transfer in community dynamics and evolution