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CDM, HL7 FHIR Hands-on experience working with Semantic Web and metadata standards: HealthDCAT-AP, DPV, ORDL Experience programming in Python and working with machine-learning frameworks and libraries
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Researcher to support research and development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial
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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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Strong programming skills in Python; knowledge of R, Shell, and Linux is an advantage Experience with Git, Docker, CI/CD, and development of ML pipelines Experience with databases, APIs, and
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methodologies Excellent programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning models on GPU-based systems
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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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visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The candidate will be funded through a Research, Development, and Innovation (RDI) project with a leading energy