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available funding. Prior experience in QCD, gravitation, gauge/gravity duality, and/or numerical methods is an advantage. Review of the applications will start on January 1st, 2026, and will continue until
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. Róża Szweda at the Centre for Advanced Technologies, Adam Mickiewicz University in Poznań. Project Overview: The project focuses on developing innovative synthesis methods for polymers with precisely
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language processing and computer vision reveal the even greater potential of general-purpose foundation models. These models, pre-trained by SSL on diverse datasets and fine-tuned for specific tasks, offer superior
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
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(starting date flexible). We develop state-of-the-art computational methods and take a leading role in our field. The successful candidate can therefore expect to contribute at the international forefront
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Demonstrated creative and proactive approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of
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learning, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
of methods that allow for detection and segmentation of Multiple Sclerosis lesions from spinal cord MRI images acquired with current clinical protocols. It must be emphasized that MS lesion segmentation in
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Demonstrated research expertise related to real-time computer graphics programming