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platform, contribute to accelerating the realisation of PEDs? How can standards (e.g. in terms of data models and APIs) support this process, e.g. by streamlining data retrieval, integration and usage? How
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maintains one of the largest glioma biobanks in Europe, advanced ex vivo and in vitro models, and high-throughput screening platforms such as GLIOscreen®. The research takes place in a well-equipped
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental, and molecular data, aimed at predicting health
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cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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degree in engineering, mathematics, or a related field, with a strong background in prognostics and health management (PHM) for engineering systems and structures, as well as expertise in machine learning
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biobanks in Europe, advanced ex vivo and in vitro models, and high-throughput screening platforms such as GLIOscreen®. The research takes place in a well-equipped laboratory environment (ML-1/ML-2
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. The goal of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will develop and validate advanced AI models that integrate medical