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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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monitoring Statistical analysis and modelling of relevant data (e.g. environmental data). Publishing results in peer-reviewed scientific journals. Fisheries management and conservation (e.g. biodiversity
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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an efficient AI foundational exploration of the molecular space. How can we bias the generative models towards desirable molecular properties How can we integrate generative AI models and different molecular
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized
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, etc. Develop life cycle inventory (LCI) datasets and life cycle impact assessment (LCIA) methods to quantitatively assess the impacts of food production, processing and consumption on ecosystems, human