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power systems, energy conversion, modelling, simulation and programming tools (e.g. MATLAB, Simulink, Python), or related research areas will be considered an advantage. Strong analytical skills, a
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collaboration with TBE. Reduced-order and AI-based modelling. Investigate techniques to accelerate reactor simulations for system-level integration and real-time applications. Potential approaches include reduced
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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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findings in a PhD thesis and peer-reviewed articles and give presentations at consortium meetings and (international) conferences. Where to apply Website https://www.academictransfer.com/en/jobs/364083/phd
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, would be a valuable step forward in understanding damage in engineering materials. This PhD will focus on development of mesoscale modelling and simulation approaches for intragranular mechanical
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innovation-driven contexts. Read more about staff benefits and life as an SLU employee on https://www.slu.se/en/about-slu/work-at-slu/ Read more about third-cycle courses and study programmes on https
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sustainable technologies. For more details, please view: https://www.ntu.edu.sg/eee The LUMINOUS! Centre of Excellence for Semiconductor Lighting and Displays at NTU is seeking a Research Assistant
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BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 141110 Where to apply Website https://vrain.upv.es/ Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent
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major challenge due to the limitations of conventional software simulation and existing device-level emulation platforms. This PhD project will develop an advanced emulation framework, potentially FPGA
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for engineering mechanics in mechanical, industrial, digital and biomedical engineering courses of study. In addition to the basic training, specialization lectures for advanced modeling and simulation techniques