203 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions in Luxembourg
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international research group in Computer Vision, sustained by competitive research and innovation funding Lead and develop excellent research and technology transfer creating impact at national and international
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encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our
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This is a fully funded position for 24 months within the FNR INTER project “Efficient and Efficacious Cellular Reprogramming with Edgetic Perturbations” (EdgeCR). EdgeCR aims to push the boundaries
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Application Deadline 20 Aug 2026 - 09:44 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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workshops and valorisation strategy. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science, Applied Physics, Nanotechnology Experience and skills 3 to 5
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote