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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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; https://github.com/CogStack/MedCAT ) projects alongside any deployment specific enhancements and specialisations. This work will include contributing to our clinical NLP tools, algorithms and interfaces
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
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quantum algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context
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Faculty.Professor.Assistant - Full-Time SCI-Office of the Dean - Pennsylvania-Pittsburgh - (24008558) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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reconstruction algorithms, and validation in different human diseases. Responsibilities: Design, implement, and evaluate novel MRSI and MRI pulse sequences for research and clinical translation. Develop Extraction
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algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency and scalability. Collaboration & Mentorship - Work closely with
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considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present
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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics