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Field
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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hardware matters. Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems to identify and resolve a wide range
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/C++ and Python at a minimum Experience teaching fundamental computer science topics, including: data structures, algorithms, multi-threading, and embedded systems programming A portfolio of software
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intelligence, data science, computer science, statistics, or a related field with a focus on AI methods and/or causal data analysis. Documented interest in causal data analysis and/or in the development
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Quantum Mathematics with emphasis on pure mathematics with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. The targeted starting date
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: Apply Position Description Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab, Finance Industry) Education: PhD in Math, Science, Engineering and other
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support to faculty and administrative staff. Continuously monitors OIRDS applications and program scripts to distribute workloads efficiently across servers, ensuring optimal system performance. Implements
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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like