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computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
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surrogate models. Applying symbolic reasoning to define and analyze system components and their interactions. Merging machine learning with symbolic AI to enhance system (performance) monitoring. Advancing
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Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data
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processing pathways to electro chemically upcycle pyrolysis carbons into value added graphene(oxide) colloids. Your PhD project is part of a larger collaboration between TU Eindhoven and Shell on
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automotive radar? • Then apply for the PhD position on Deep Learning Perception for Automotive 4D Imaging Radar! Autonomous driving is a key application of artificial intelligence generally, and vehicle
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Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7342 Job description The PhD candidate will work within an international research project SINTRA in cooperation
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Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7337 Job description The PhD candidate will work within an international research project ELEVATION in cooperation
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learning control. The overall goal of this PhD project is: To develop and integrate adaptive spiking circuits based on organic neuromorphic and biohybrid devices. Embedding The PhD student will be directly
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-making processes. Moreover, recent developments in the field of machine learning have established a strong connection between these structures and neural networks, which we seek to fortify by developing
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with hardware architecture, FPGA, and system-level simulation is desirable. A good theoretical understanding of statistics and machine learning theory. Strong analytical skills and proficiency in