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Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal skills: Team Worker Initiative in Research and Innovation Flexibility Results-oriented Analytical and
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machine learning (Dr Iñaki Esnaola, Electrical and Electronic Engineering) and advanced machining research (Dr Javier Dominguez-Caballero, AMRC Machining Group), with direct technical support from
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Graphics: https://www.jku.at/cg Your Qualifications: The successful candidate must hold a Diploma/Master’s degree in a corresponding discipline (computer science, mathematics, engineering or related) or have
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, test and measurement methodologies for electronic modules, system engineering, data pre-processing and database indexing/analytics for dashboarding/visualisation, embedding machine learning algorithms
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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and Machine Learning Researcher will report to Ayan Paul, Research Scientist at EAI. There will also be opportunities to work on industry collaborations. Responsibilities will include building an ETL
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Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal Skills: Team Worker Initiative in Research and Innovation Flexibility Results-oriented Analytical and
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PhD students and 730 employees. Where to apply Website https://lu.varbi.com/en/what:job/jobID:922244/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research
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, engineers, PhD students, and postdoctoral fellows, at the interface between fundamental research, technological development, and experimental validation. Where to apply Website https://emploi.cnrs.fr/Offres
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Faculty of Engineering and Science. One PhD position will be hosted in the Cybersecurity Research Group at the Department of Electronic Systems in Copenhagen, while the other will be hosted in