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foundation models. The Successful Candidate Is Required To: • Contribute to research on post-training of LLMs. • Implement machine learning algorithms, experimental frameworks, and research prototypes
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and description of the project] * Background of the recruitment and description of the project At IRCN, we focus on brain development and its disorders to inspire novel AI, as well as their application
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, which have the clinical value in the real-world employment. • To develop novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth estimation, etc
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, optimal transport, set evolution and shape optimization, calculus of variations), and/or convex/non-convex optimization methods (first-order algorithms, nonlinear/non-Euclidean gradient descents
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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, and development of algorithms for real-world clinical data. The fellow will have the opportunity to work with clinicians, engineers, data scientists, trainees, and research staff in a highly
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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germanium, and executed quantum algorithms on a four-qubit quantum processor. As a Postdoc researcher, you will explore opportunities with semiconductor quantum technology and aim to push the boundaries in
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demonstrable experience with programming in Python and implementing statistical or machine learning algorithms. You have experience with software development practices such as testing and version control with
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push the development of the AIoT system, which is a key thrust in a Soundscape project. This is a big project where there is a strong emphasis in deployment, testing and scaling up in building