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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 8 days ago
associated. with neurodegeneration or ischaemic heart disease. Predicting optimised regenerative response. Developing and validating predictive biomarkers, personalized interventions, and AI-driven models with
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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of cementitious binders, including blended cements. Develop curing-specific DoC prediction models and validate against experimental results. Determine the effect of controlled exposure conditions on the DoC
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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/environmental database and model-predictive control for indoor farming applications. Assist project team in deployment of testbeds and instrumentation for testing and validation of agritech/green building
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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality
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to review the surveillance and control systems for L. monocytogenes. LISTADOS will advance the state of the art by linking two relatively recent findings: the phenotypic differences between Lineages I and II
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 13 hours ago
dataset, the scholarship will then explore and prototype models to extract insights about building operation. In particular, the work will focus on tasks such as predicting building occupancy patterns from
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by investigating decomposition processes under controlled conditions to unravel the mechanisms of peat decomposition, identify the main actors and predict the interaction between these actors and their
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with clinicians, neuroscientists, and molecular biologists to interpret AI-based findings and translate models into clinically actionable tools for early diagnosis, risk prediction, and patient