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mechanical metamaterials. Furthermore, our group values collaboration and interdisciplinary research. As such, you will have ample opportunities to work with other experimental and theory groups not only in
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-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control
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existing theories and methods. They will assist the supervisor in the interpretation and publication of results and grants. Furthermore, it is expected that they exercise functional supervision over
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the group’s research and philosophy head over to www.d2r2group.com Qualifications Strong background in ab-initio calculations of materials (density functional theory) and high-performance computing
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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
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the group’s research and philosophy head over to www.d2r2group.com Qualifications Strong background in ab-initio calculations of materials (density functional theory) and high-performance computing
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using existing methods and theories. Assists the supervisor in the interpretation and publication of results and assists in reporting related to grants. Maintains the laboratory and may exercise
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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, primarily using existing theories and methods. Assists the supervisor in the interpretation and publication of results and grants. Maintains the laboratory and may exercise functional supervision over