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, including Bayesian methods, big data, causalinference, statistical computing, data science, functional data analysis, statistical genetics, hierarchical models,HIV/AIDS, image analysis, longitudinal data
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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pathologies, including relevant techniques (in vivo imaging, sample processing, and analysis), as well as ex vivo models High motivation to learn and further develop relevant methodologies, and flexibility
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models and metrics for fairness in decentralized environments. Develop prototype systems and perform experiments on real-world datasets and platforms. Publish research outcomes in high-quality venues and
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this condition. You will evaluate their interactions using in vivo micro-CT, intravital imaging, spatial transcriptomics and molecular analysis techniques, identifying the key pathways governing this process
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Inria, the French national research institute for the digital sciences | Nantes, Pays de la Loire | France | about 15 hours ago
applications is the ability to prototype their ideas, share, and collaborate with the rest of the community. This work will be conducted as part of the QUICK project (_Collaborative services for Urgent systems
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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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research (https://www.kcl.ac.uk/scms ). We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive
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interdisciplinary collaboration. The Institute provides access to advanced imaging, characterisation facilities, and state-of-the-art instrumentation, supporting innovation and shared discovery. The Department
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC