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Summary Michigan Technological University is seeking a Postdoctoral Scholar for our Psychology and Human Factors department. The new post-doc will support a multi-university research initiative
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc w/Ret Bookmark this Posting Print Preview | Apply for this Job Announcement Details
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Job Description Apply now Req Id: 41135 Job Title: Post Doc Research Assistant City: West Lafayette Job Description: Job Summary PURDUE UNIVERSITY College of Liberal Arts (CLA) Postdoctoral Research
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for improved management and follow-up of a group of threatened fungi. As a post-doc in the project, you will be expected to drive independent research, including developing and executing field
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Electrical & Computer Engineering Work Location EPIC and Grigg Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 Work Schedule Pay Rate
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or model parallel training. Experience with multi-physics simulations on HPC and with ML models. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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mentor in preparation for a full-time academic or research career. Work Performed DEFINITION: The Postdoctoral Appointee holds a Ph.D. or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US
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program: Contribute to the LEGEND-200 data analysis and the development of advanced analysis routines Contribute to the R&D on advanced instrumentation, design, and simulations of the next generation LEGEND
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly