203 coding-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at Nature Careers
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policy-as-code for real-time safety checks Parameter-efficient fine-tuning of LLMs for age-appropriate, pedagogically meaningful dialogue High-performance computing pipelines on Luxembourg's MeluXina
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., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting open-source AI models and code repositories
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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Chemistry Institute (ICN), Université Côte d'Azur, at Louis- Felix.NOTHIAS@univ-cotedazur.fr Fabien Gandon, Inria Université Côte d'Azur, atFabien.Gandon@inria.fr Assignment The selected candidate will
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mission to improve lives. Our Speak-Up policy is an important part of our Code of Conduct. Only in this way we can continuously develop and improve as a company. Our core values of empathy, respect, passion
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on ARSPECTRA hardware in collaboration with their engineering team Contribute to open-source code, demonstrators and joint publications with ARSPECTRA and clinical partners Your profile PhD in computational
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integrating biological data sources (clinical event sequences, genomic sequences, disease codes) into unified patient representations and state sequences for predicting disease progression and outcomes
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, extensive experience with scientific coding in R and/or Python, and prior experience in applying quantitative methods and modelling to real-world questions in domains such as clinical or health psychology
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epidemiology, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific