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Field
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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims
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three lab courses. These method-based courses last up to five days and constitute an important element of the study programme, with students receiving intensive training in the latest methods and
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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implants using finite element analysis and topology optimization. Join us to shape the future of personalized orthopedics Job description Faculty of Mechanical Engineering at TU Delft Are you passionate
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three challenging fields of computer simulations, nano-manipulation, and biomedical engineering. MATTER builds on the well-equipped core facilities of UT and establishes synergies with the most
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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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generation electrochemical energy technologies through holistic views of fuel cells (especially ammonia fuel cells) and different kinds of batteries, including metal and metal ion (Li, Na, Ca etc
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Engineering Telecommunications Engineering Data Science / Artificial Intelligence Computer Engineering Applied Computing Computer Science Or a closely related discipline Equipped with advanced scientific and
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river valleys); • Identify stylistic patterns and regional variations in schematic rock art; • Apply machine learning tools for large-scale stylistic classification; • Establish a robust chronological
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 24 days ago
component to conceive novel setups and collect data to compare with simulations. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09688 Requirements Skills/Qualifications