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- La Trobe University
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Field
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; Experience in the application of analytical techniques for the characterisation of historical and archaeological metallic materials, namely X-ray fluorescence (XRF) and multi-collector inductively coupled
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 25 days ago
# Semiconductor processing and ion implantation # Nanofabrication and cleanroom technologies # Optical spectroscopy # Programming and scientific data analysis (e.g. Python, MATLAB) # Strong analytical and problem
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then undertake one of the following masters’ degrees commencing in January 2027 and further develop their research proposal before proceeding to the PhD phase: MSc Business Analytics MSc International
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highly valued. The fellow is expected to independently perform analytical characterization techniques such as Scanning Electron Microscopy, X-ray Diffraction, and Dynamic Light Scattering. As set forth FCT
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proficiency in English; Autonomy and initiative; Analytical ability and critical thinking. Website for additional job details https://www.ipc.pt/ipc/sobre/rh/a-decorrer-bolseiros/ Work Location(s) Number
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such as Big Data analytics, virtual healthcare, Internet of Medical Things (IoMT), cybersecurity, and artificial intelligence. Students get the chance to work on real-world projects with industry partners
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designs and delivers services to faculty and students that support scholarly research involving the use of digital platforms, analytic and computational software, and visualization tools for the purpose
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Environmental Toxicology – 5 points; other Master’s degrees – 2 points); b) Publications in the field of analytical chemistry and environmental (eco)toxicology – 10 points; publications in other fields – 2 points
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Regression, Gradient Boosting, Self-Organizing Maps, etc.); Demonstrated interest in the field of Urban Analytics and Mobility, particularly in the application of artificial intelligence and machine learning
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, simulation, and data analytics techniques ; - Identify key performance indicators (KPIs) to assess the efficiency, resource utilization, and sustainability of supply chains; - Validate the developed models