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Field
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interactions with experimental collaborators. Many of the problems are constrained by inherently low-quality or noisy data, and the successful candidate will be enthusiastic about contributing to data
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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Bryan Webler’s group. The postdoc will conduct research on the fabrication of refractory alloys by additive manufacturing methods. Responsibilities: Design build plans and use powder-feed direct energy
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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analysis. Experience in protein interaction studies (e.g. co-IP, yeast-2-hybrid etc.) Skills Demonstrable ability to plan and manage independent research. Contact Information Department contact for academic
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. Please note that applications made on a part-time basis for this role will not be considered. Your priorities will include: Using proteomics approaches to investigate parasite biology Designing and