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Field
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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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during film growth, and how the films respond to external perturbations, such as molecular guests, light or charge. The focus will be on organic cages and metal–organic framework (MOF) thin films as key
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last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics. Here
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
packages; names of two references and their contact information (one must be someone you have worked for as an RA); current CV; transcript; condensed transcript; written list of classes in economics
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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5 Sep 2026 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher
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, and machine-learning-based analytics. The research work at NTNU will focus particularly on automation, robotics, mechatronic design, sensor integration, and intelligent experimental systems required
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures
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Job related to staff position within a Research Infrastructure? No Offer Description How we measure and define performance shapes the systems we build. Current Natural Language Processing (NLP
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and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and