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Field
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
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perform analysis, requiring to work closely with them, to design relevant features in our algorithms and adapted interfaces for interaction. 3. Position description This PhD project aims to develop Computer
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title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
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title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
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... Your PhD research focuses on several topics like the development of a novel prognostics model based on the evaluation of sensor data and for this specialized methods. Purpose is the updating of digital
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flexible on-demand services, while considering the underlying travel behaviour. In the future, these mixed transportation systems may include a fleet autonomous cars, vans, and buses. This PhD position
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equitable urban energy systems. Our work combines technology and policy with systems thinking and practical implementation, always grounded in real-world urban challenges. This PhD position is offered in
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advance the development of the Tool’s algorithms and functionality. As a key innovative component of D-Suite, this open-source tool will achieve wide industry visibility, and will be formally evaluated by
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2 PhD Positions in Ultrafast Spectroscopy of Chiral Organic Molecules at Heidelberg University (f/m/d) (50%) 2 PhD positions are advertised at the Institute for Physical Chemistry in the research