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of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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of individual heterogeneity, estimation using machine learning methods and particular challenges present when studying infectious diseases. An overall goal of the project is to improve current practice in
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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: Enhancing full-scale power-speed assessment reliability by using IoT and big data management Summary This PhD research focuses on uncertainty challenges caused by various disturbances (wind, wave, current
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-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-hierarchical-graph-n… Requirements Research FieldComputer scienceYears
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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in
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30 Dec 2025 Job Information Organisation/Company AMBER laboratory Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country