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currently at Duke working with Duke GI T32 mentors are expected to submit a detailed research proposal (limit 3 pages). Other Duke applicants and any external applicants should instead submit a 1-2 page
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-of-the-art IT infrastructure. Ideal candidates should hold a PhD in the area of Computer Science or Electrical and Computer Engineering and have strong programming skills including Python. Past work in
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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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well as to other tasks related to this research program in order to solve important problems. He/she will likely implement different algorithms in Python and potentially other programming languages. The postdoctoral
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and
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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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of epidemiological methods and study design Strong experience in statistical genetics, omics technologies and their data analysis Proficiency in programming language (e.g., R, Python), statistical software (e.g. SAS