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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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selected ecosystem services (e.g., biological control and pollination) at the landscape level. The postdoc will also be involved in collaboration with stakeholders within a local living lab where different
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LevelPhD or equivalent Skills/Qualifications Education: PhD in Analytical Chemistry, with experience in suspect screening by LC-HRMS. Skills: theoretical and practical in-depth knowledge in all analytical
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generation of circular design methodologies. You should have: PhD degree in design engineering, industrial ecology, aerospace engineering or a related field Experience with work in research projects with
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FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Essential: PhD in Materials Science, Physics, Chemistry, Engineering, Artificial
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
opportunities for interdisciplinary collaboration, publications, conference presentations, and participation in lab meetings and mentorship. The full job description is available, here: https://docs.google.com
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. A PhD in an engineering domain and solid knowledge of space systems are required for this position
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qualifications : PhD in chemical Engineering, biotechnology or related discipline. Proven experience in mineral characterization, liquid analysis and process development; Strong background in solution chemistry
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Engineering
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory