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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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applicable, passed the relevant test. In such a case, the panel may set a minimum score for candidates to be placed in the pool. The pool will list candidates in descending order of score. Candidates in
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and Space Weather. The successful candidate will contribute to the development, testing, and operation of solar monitoring stations, real-time data pipelines, and AI-based analysis tools. The position
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component modeling and testing. Knowledge or classwork related to energy systems with design and computational model analysis using engineering software will be necessary. Demonstrated research capability and
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analysis, AI algorithm modeling, testing, and integration into functional systems within the project scope. Specifically, in activities related to behavior modeling from IoT device data, generative AI
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for statistical analysis, using SPSS statistical software; Co-mentor students and young researchers who may become involved in this work plan. 8. The applicants might be national, foreign and stateless candidates
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phenotyping of agricultural systems; Application of computational tools for the analysis of complex datasets; Contribution to database/software development; Dissemination of results through publications
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team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and techno