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will be given to candidates with strong expertise in foundational research on robotics, machine learning algorithms, optimization, and statistics. As a major department with an enrollment of about 1,500
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) from public repositories (including dbGaP). Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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solutions; • Implementing and comparing different Intelligent Optimisation algorithms. • Implementing, providing and monitoring intelligent solutions (e.g., via API). • Producing documentation
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studies for project-based research topics. Contribute to the development of algorithms and models to enhance the reasoning abilities of large language models in the healthcare domain. Job Requirements
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framework for developing advanced IT professionals. AI is inherently data-driven, shaped by large-scale, high-quality data and algorithms that efficiently learn from it. Data engineering and statistical
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between advanced optimization algorithms and structural design. We are seeking a highly motivated and skilled postdoctoral researcher to join our internationally recognised group. You will join an active
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revealing mechanisms and therapeutic targets of early pre-malignant development of ovarian carcinoma, novel big data approaches, and development of early detection/screening tests/algorithms of ovarian cancer
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implement optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real
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geometries and advancing to multimodal damage assessment capabilities. The group conducts cutting edge research and publishes on novel ML breakthrough algorithms for large scale geospatial application