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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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Full-time: 35 hours per week Fixed term: 6 months Develop machine learning of cellular automata models with applications to in vitro developmental biology. The Opportunity: This post is full-time
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for machine learning and artificial intelligence, with a strong emphasis on developing and applying models such as LSTM and other time-series analyses to predict the longevity and behaviour of bioactive
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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publications. Have experience analysing AUV, BRUV or other marine video datasets; Demonstrate advanced GIS capability (ArcGIS Pro or QGIS) is essential, as is confidence in applying machine-learning approaches
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transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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good collaborative skills within a team. You may also have strong theoretical and programming background in AI, machine learning, mathematical modelling including physics-based models, and/or robot
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research background in or research experience with one or more of the following topics: Natural language processing & language modeling Machine learning & representation learning Interpretability and