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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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a variety of undergraduate computer science courses, including introductory programming, software engineering, programming language design, data structures and algorithms, networking and cybersecurity
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to test the current algorithm and inform development of future algorithm refinements aimed at supporting diabetic foot ulcer (DFU) prevention through identification of temperature differences of > 2.2°C
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contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to contribute to: Extend our software platforms for electronic healthcare record
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and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks: Participation in research
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UKRI under Grant Reference EP/X026167/1. In this role, the successful candidate will collaborate with QSL’s team of researchers to design and implement variational quantum algorithms, resource estimation
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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math, with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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of projects. Job Description: The successful applicant will be responsible for Performing literature review and background study on collaborative AI Develop algorithms and system designs that can optimize