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Field
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research findings in leading journals. Disseminate results widely, including at appropriate national/international conferences, and by making results and software available to applied practitioners
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with data visualization (graphs, GIS maps, figures). Proficiency with GIS software and spatial data analysis is highly desirable. Strong writing skills, including the ability to contribute to manuscripts
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Excellent communication and interpersonal skills, with the ability to work both collaboratively and independently Attention to detail and dependability Knowledge of statistical analysis software (e.g., SPSS
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(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
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certification within the scope of the aforementioned project, and carrying out the following tasks: Analysing the requirements and designing the AI-based software platform for the optimisation of energy
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experiment at Rutgers University. Our group, led by Profs. John Paul Chou, Yuri Gershtein, Eva Halkiadakis, Amit Lath, Sunil Somalwar, and Scott Thomas, has major involvement in physics, software, and hardware
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Femtosecond Time-Resolved Pump-Probe Spectroscopic Ellipsometry and Time-Resolved Photoluminescence Data evaluation (commercial software, programming own software) Deposition of ScAlN thin films using magnetron
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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basis. Desirable: MSc in relevant field Experience with force plates and/or strain gauges Experience in systematic reviews, empirical research, and use of statistical analysis software Accredited
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developing novel materials with engineered properties that go beyond those found in nature. Responsibilities Metamaterial Design and Simulation: Use electromagnetic modeling and simulation software, COMSOL