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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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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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involved in publication, presentations, grant writing, lab management as well as mentoring of junior-level researchers in the laboratory. Responsibilities Responsibilities will include: Design and execute
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of multilayered epidermal organoids, and designing amorphous mechanical metamaterials. Furthermore, our group values collaboration and interdisciplinary research. As such, you will have ample opportunities to work
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). This is a full-time job and requires work on site. KEY RESPONSIBILITIES & ACCOUNTABILITIES Performance of research including research design, implementation, and analysis/reporting (40%) Training graduate
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management ● Supervising and coordinating undergraduate research assistants ● Helping to mentor masters and doctoral students ● Designing experiments, collecting data, analyzing and writing papers
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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supporting research staff. Primary responsibility is ensuring that the research is complete. The appointment generally does not extend beyond two years. MINIMUM QUALIFICATIONS PhD in Biochemistry, Molecular
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QUALIFICATIONS PhD in Biochemistry, Molecular Biology, Plant Biology, or a related field; Proven experience in the field of plant medicinal natural product biochemistry; Proficiency in molecular cloning, protein