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Field
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The position We are seeking a PhD Fellow to join the Sámi AI Lab at the Department of Computer Science , UiT The Arctic University of Norway, focusing on inclusive generative AI. The position focuses on non
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is that
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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from SGH and NNI. To provide guidance and support to any students associated with the project. To undertake any other duties relevant to the programme of research Job Requirements: Preferably PhD
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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The position An exciting PhD position is available at the Department of Computer Science at UiT The Arctic University of Norway. The position is associated with the Visual Intelligence centre of excellence in
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Familiarity with computational models of vision (e.g., CNNs, deep generative models) is preferred but not required Excellent communication skills and enthusiasm for collaborative work Special Instructions
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investigators to acquire essential academic credentials and research skills with the purpose of increasing competitiveness for MD, PhD, or MD-PhD programs in biomedical sciences. Primary Responsibilities Devote
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successful candidate will: Hold a PhD in Computer Science or related topic (essential) Have proficiency in analysing large data sets (essential), including ideally: social media data (desirable) work on online