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advanced degree or comparable experience required. Please provide a cover letter, curriculum vitae, a statement of teaching interest, and contact information for one reference. No letters of recommendation
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or ANSYS Fluent; fabricate particle sorting devices in cleanroom. Set up microfluidic imaging system, run particle sorting experiments, analyze fluorescence image data and evaluate performance metrics
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advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/ .Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging
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funding. Responsibilities Application of Domain Expertise Fully understands the role within the research domain and working toward advanced proficiency in the underlying science, math, statistics, data
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mechanical, electrical, and data acquisition systems (e.g., vacuum systems, high-pressure gas handling, analog signals/switching, high-speed data acquisition) Strong publication record In addition to technical
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on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Standard Weekly Hours 34.44 Eligible
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: 271047364 Position: Full, Associate, or Assistant Professor Description: As part of a major new initiative in interdisciplinary data science, Princeton University is searching for tenured and tenure-track
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) provides additional details on the fellowships, eligibility, disciplines, and application dossier, and we recommend that applicants review this information before submitting an application. Appointed as
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: https://www.princeton.edu/acad-positions/position/38801 and include a cover letter, CV, research statement (a discussion of past research, expertise, and research interests), and contact information
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datasets and perform complex statistical analyses of data, using advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise programs