69 software-verification-computer-science Postdoctoral research jobs at Duke University
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Carolina 27708, United States of America Subject Area: Biomedical Engineering / genome engineering technologies Appl Deadline: (posted 2025/04/22, listed until 2025/06/30) Position Description: Apply
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with molecular biology and/or genomics/bioinformatics is strongly encouraged to apply. Applicants with other expertise will be also considered. The successful candidate will have opportunities to work
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research or scholarship. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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, neuroscience, physiology, physics, or computer science · Be a proficient programmer and experience in Python, MATLAB, NEURON, COMSOL, and / or git are assets · Be familiar with neural biophysics and
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ma yinclude teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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methods to compare the new designs and techniques with existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical
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existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical methods and also work closely with all project
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for scientific conferences. Assist in grant proposal writing for lab grants Mentor undergraduate or graduate students Doctoral qualification in epidemiology, biostatistics, computational biology, public health