51 assistant-professor-computer Postdoctoral positions at Duke University in United-States
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develop novel computational approaches. Develop mathematical descriptions for the acquired data and work with our theorists collaborators to implement new theories. Integrate with the rest of the lab and
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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mentoring, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience. Skills
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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Stimulation We seek a highly-motivated individual to conduct research on computational modeling of cortical neuron activation by transcranial electric and magnetic stimulation (TES and TMS). We have an NIH
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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proficiencywith JavaScriptand experience with B ayesian statistics are preferred.Experience in survey designis also help ful.Previous legal experience is not necessary, but an interest in law a ndlegal decision
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variable analyses including developing novel methodological approaches in collaboration with faculty statisticians · Creating table and figure output for publication · Assisting with manuscript development
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fellow will focus on evolving and characterizing next-generation therapeutic proteins using the lab’s high-throughput phage-assisted continuous evolution (PACE) platform. Their work will contribute