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intelligence including model design, implementation, evaluation, system development Develop innovative models for video intelligence (e.g., multimodal understanding, embodied AI) Lead manuscript writing
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transition to Net Zero. You will be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will
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research-focused positions for early to mid-career researchers to pursue ambitious research programs. This position is modelled on the ethos and support offered by EMBL within its European network
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. During this training opportunity, you will have the opportunity to be involved in the development of a training model to predict PRRSV disease outcomes in field-collected samples from pigs infected with
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focuses on developing digital tumor models that integrate clinical and molecular data to predict treatment response, therapeutic resistance, disease progression, recurrence, toxicity, and survival. We work
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reacting-flow modelling. This is a one-year research appointment, with the possibility of extension subject to satisfactory research progress and funding availability. The successful candidate will work
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on integrating multimodal large language models (LLMs) with embodied AI. This position will involve the development and deployment of Vision-Language-Action models for real-world robotic applications, such as
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intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic
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Engineering (MIME), the Biomedical Discovery Institute (BDI), and CSIRO. As an EMBL Australia Group Leader you will also be deeply embedded within the EMBL Australia Partner Laboratory Network. Key
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electrolyser for CO production, and derisk for further commercialisation. The project aims to addresses the main priorities of the engineering net zero mission by accelerating deployment of a new technology that