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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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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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bench, combining the advantages of real-time software models and real equipment, contributes to the reduction of the number of test runs and safe maintenance. Test benches cover many different areas like
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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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or MATLAB. Familiarity with numerical geotechnical modelling software (e.g., Plaxis, RS2/RS3 or OpenSees) is an advantage. Experience in geotechnical laboratory testing is an advantage. Have the ability
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. Modeling the energy consumption of Smart Cities at different granularity levels (entire city, neighbor- hoods, blocks, buildings). Analyzing and performing benchmark tests on data collected by industrial and
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knowledge of electrochemistry and experience with fuel cell test Ability to cooperate across disciplines in an international environment Independent, structured and target oriented way of working Software
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Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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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