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Field
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estimation methods for deep neural networks. A principled Bayesian framework for multimodal uncertainty modeling. Robust learning algorithms under missing modalities and distribution shifts. New uncertainty
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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management reporting needs. Partner with programmers to design and institutionalize accurate forecasting and financial planning tools; this includes modeling new algorithms, creating functional specifications
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statistics and data science -- including artificial intelligence -- the community pioneers emerging fields, develops the algorithms that power the information age, and is committed to creatively and
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Software function within SKA-Low delivers innovative systems that underpin telescope operations, including high-performance data processing platforms, large-scale distributed networks, and science data
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on designing and evaluating radar signal processing algorithms, developing sensing architectures, and advancing radar technologies through applied research, development, and evaluation. The successful candidate
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management reporting needs. Partner with programmers to design and institutionalize accurate forecasting and financial planning tools; this includes modeling new algorithms, creating functional specifications
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
objectives. The work will focus on the joint optimization of beam geometry configuration and beam intensity distribution for both photon and proton therapy treatments. Given the high dimensionality and
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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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/Artificial Intelligence and their data, modelling, and operational challenges. Develop and evaluate algorithmic solutions (e.g., machine learning, optimisation, statistical modelling, distributed systems