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Institute, is inviting applications for a postdoctoral fellow position, annually renewable for up to 4 years. The fellowship will be part of an NIH R61/R33-funded project, "Gaze-contingent AI-assisted Low
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’ fellowships”. Website for additional job details https://www.it.pt/Positions/OtherResearchPosition/8298 Work Location(s) Number of offers available1Company/InstituteInstituto de Telecomunicações
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-time position (1.0 FTE) at the rank of Postdoctoral Fellow for a one-year term, renewable for an additional two years subject to work performance and funding availability. Reporting directly to Dr
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology
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modelling, simulation, and visualization functionalities, as planned in the European project ARTEMIS - Applying Reactive Twins to Enhance Monument Information Systems. Activities may include designing and
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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/Administrative Internal Number: 528465 Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8) Department/Organization: 214281 - Metallurgical and Materials Eng Normal Work Schedule: Monday
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(preferably in R and/or Python). b) Preferential factors: Familiarity with spatial data analysis and/or Machine Learning methods will be valued. Workplan and objectives to be achieved: The work plan aims
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. . RECIPIENTS: Undergraduate degree in areas related to Land Use Planning, Civil Engineering, Geological Engineering, and currently enrolled in a master's degree in Geographic Information Systems and Sciences
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university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work