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Your Job: The work is part of the joint project “Towards sustainable production by regenerative agriculture and agroecology in a changing climate” (ReGenFarm). Together with Bayer Crop Science, IBG
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person. Aims: The project aims to develop and evaluate AI methods for medical image analysis to detect diabetic retinopathy, glaucoma, cataract and age-related macular degeneration (AMD). As
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neurotransmitter that is released by our sympathetic nervous system. Our previous investigations has shown stroke leads to excessive output of noradrenaline leading to lymphocyte death and dysregulated function
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for the CERIC-ERIC project “LEMIS” aiming to adopt and improve existing Ion Beam Analysis (IBA) techniques for their optimal use in the analysis of materials of importance to energy storage. The successful
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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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collaborations, macaque electrophysiology. We use machine learning techniques for data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI models (NeuroAI
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improves the performance of ROMs, making them more applicable to real-time structural health monitoring, vibration analysis, and control design. This research offers real-world impact across several
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interest in biodiversity, functional ecology, image/video analysis, and conservation. Experience with programming, statistical analysis, or spatial modelling is desirable but not essential, as full training
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based on priority use cases Comparative analysis of signal synchronisation techniques applied to defined problem. Those will include signal processing (e.g. through direct Tx/Rx signal analysis), hardware
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levels can become extremely high, may lead to failures and disintegration of the structures. In critical structures, such failures cause not just the loss of the ability to operate but to much more grave