8 learning-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Luxembourg in France
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, Transparent, and Merit-based Recruitment (OTM-R) standards, with decisions based on international peer review. Find out more about YADIAS at: https://yadias.uni.lu/ Download documents and templates
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Schlenker ([email protected]). Administrative questions should be addressed to [email protected]. To apply click the button at the bottom of the following page: https://www.uni.lu/en/jobs/postdoctoral-researcher-in-geometry/
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researchers. Apply here: https://uniluxembourg.recruitmentplatform.com/apply.html?jobId=QMUFK026203F3VBQB7V7VV4S8-165379&;langCode=en_GB
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Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral
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learning pathways. The project is also developing qualification and certification approaches, high-quality reusable training materials, and a common digital platform to make HPC training more
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candidate will contribute to the development of reliable, reproducible and reusable AI infrastructure for biomedical research, supporting the transition of machine-learning (ML) methods from research
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translational research Experience with programming skills in Julia, Python, C/C++ including machine learning and AI frameworks, e.g., PyTorch and TensorFlow Experience with omics data management, data
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AI and machine learning applications in complex diseases such as Cancer, Alzheimer's, Parkinson's and Cardiovascular diseases. Your role You will work within a multidisciplinary environment alongside