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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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biomedical engineering or computer science, preferred. Demonstrated experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB, Python, R) preferred
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and environmental engineering, environmental sciences, geomorphology/geology, earth system science, data and computer science, or a related field. Additional qualifications (required at time of start) A
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Requisition Id 17078 Overview: We are seeking a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate
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. For more information, see www.universiteitleiden.nl/en/science . Information about CML can be found at www.universiteitleiden.nl/en/science/environmental-sciences . What you bring A successful candidate has
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topics. Your competencies You hold a PhD in a relevant field such as industrial ecology, environmental engineering, sustainability science, environmental management or a related area. You have experience
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CAREER project conducted in partnership with rural educators. The project co-designs locally meaningful investigations in which students use environmental sensors, real-world data, and carefully designed
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: FAES | Plant
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Chemical Engineering - Varchanis Research Group, be responsible for executing theoretical and computational research focused on multiphase flows