106 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS"-"St" positions at Duke University in United States
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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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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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. 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
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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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means is especially important. The postdoc scholar will have the opportunity to mentor graduate and undergraduate students, design and lead research, manage and analyze large datasets, and prepare
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for a Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by
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, creative, individual to pursue applications in ultrasound microvascular imaging in an innovative, collaborative environment. We are engaged in both development of super-resolution ultrasound imaging and its
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, peripheral stimulation for bladder control, and non-invasive brain stimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for continued scientific and professional development
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-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations in the popular SimNIBS software package. This project is a