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, previous models have struggled to generalise beyond the hospital they were trained on. We believe that generative pre-training offers a promising path to a new class of models that work across settings and
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
conditions. You will use experimental results to validate models and create a digital twin for real-time operational optimisation. Based on your findings, you will establish a design and optimisation framework
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Offer Description Your ResponsibilitiesWe would be delighted if you became part of our team at the Institute for Electricity Economics and Energy Innovation. Come and work with us on modeling of energy
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vitro technologies for food defence. The PhD candidate will develop novel, aptamer-based technologies to improve the detection of food-associated health threats. Your qualifications as an Ingenious
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, existing UTES solutions are predominantly water-based, for e.g. pit thermal energy storage (PTES),and face temperature, safety, and land-use limitations. To overcome these challenges, this PhD explores a
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
imaging datasets across modalities (X-ray, ultrasound, MRI). Scalable ML workflows: GPU-based training, experiment tracking, reproducible pipelines, model validation and deployment. Research excellence
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 days ago
-derived organoids, bioengineering and aging research. At AITHYRA, particular emphasis will be placed on the integration of multimodal biological data, development of deep learning and large language models
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not only with the various working time models but also through the offers for the compatibility of family and career. We offer an annual gross salary of at least € 52,007.20 for a fulltime position. An
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this key area, the knowledge produced prior to the project and within Key Area 1, derived from empirical data and models, will be employed to synthesise novel bio-based surfactants from lignocellulosic
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project focuses on innovative cooling solutions for high-power data centers and high-performance electronic systems.As current server and data center infrastructures primarily rely on air-based cooling