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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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) zone-based effects of different methods. Collect regular soil and plant tissue samples from selected farms during growing season. Collect deep core soil samples, if required, using a Geoprobe to track
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institutions and teams. Schedule and facilitate meetings; maintain agendas, action items, and follow-ups. Track project timelines, deliverables, and assignments using structured tools (e.g., Trello, Excel
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, students, and development teams to advance projects that examine how virtual reality (VR) and eye-tracking technologies can be leveraged to enhance learning, instructional design, and educational outcomes
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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detailing your relevant experience and career objectives (maximum two pages) The names and email addresses of three references. An email will be sent to your references, requesting them to upload
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placental biology Track-record of supervisory responsibilities Experience with data analysis software Experience working autonomously while maintaining effective team communication in an academic research
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program, and currently has 40+ PhD students. All trainees of PhD graduates are placed into tenure-track faculty, government, and industry positions. Expected Salary: $62,232 annually; commensurate with
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. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
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funding to build their CVs and grant-writing skills. Postdoctoral scholars in the lab have had a successful track record of extramural funding, and new trainees will receive mentoring in grantsmanship