49 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions at Duke University
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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] Subject Area: Engineering / Biomedical Appl Deadline: none (posted 2025/06/16) Position Description: Apply Position Description Chory Lab Seeking Postdoctoral Associate (Automated Evolution postdoc
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) This postdoctoral 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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integrate into active projects aimed at developing resource responsible, economically viable solutions to challenges in the food production and critical material systems. There will be the opportunity
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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
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analyze large datasets, and prepare conference presentations and manuscripts. The ideal candidate will be skilled with field sampling methodology, statistics, and ecosystem service modeling. Applicants with
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interdisciplinary organization with a goal to develop vaccines and therapeutics for HIV, influenza, SARS-CoV-2, and other emerging infections. DHVI is seeking a Postdoctoral Associate to join our team in developing
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and equipment. · Design, execute and document experiments with sufficient detail to understand and repeat by other lab members. · Update lab members on new developments in commercial reagents and
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Development. Prior to writing an application, applicants should contact at least two ITEHP faculty members with whom they propose to work to discuss a possible research project and how the project will
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mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported