27 pattern-recognition "https:" "CMU Portugal Program FCT" PhD positions in Luxembourg
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-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Where to apply Website https://app.skeeled.com/s/CHaYCX8l Requirements Research
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) must be covered by the successful applicant. Your master diploma has to be recognized in Luxembourg. Please refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
. Please refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html
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. Please refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Where to apply Website
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refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Hired PhD candidate must self
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refer to: https://www.uni.lu/en/admissions/diploma-recognition/ https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html Where to apply Website https
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving tasks Investigate and propose mitigation
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? As a key member of the project, you will be