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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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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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foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro
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that will lead to high-working capacities. The appointment is for 12 months with the potential for an additional 12–24 months depending upon performance. Other projects that align with our group’s general
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relevant materials will be examined such as drug delivery. Publications in multiple high-impact journals are expected. The selected candidate is also expected to maintain the laboratory and exercises
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer
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. QUALIFICATIONS A Ph.D. in chemistry, physics, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated
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mathematics, bioengineering, chemistry, chemical engineering, or a related field of experience. Excellent verbal and written communications skills, as well as oral presentation skills. Organization and time