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Field
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field combines cutting-edge engineering with sustainable development, making it highly relevant to both technological advancement and humanitarian impact in today's interconnected world. This project aims
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Join a cutting-edge research initiative developing breakthrough sanitation technologies for global impact. This fully funded PhD or MSc by Research opportunity, sponsored by the Gates Foundation
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 25 days ago
-time employment. Starting date: 15.10.2025 Job description:PhD Student (f/m/d) Development and implementation of an automated workflow for multi-element deportment analysis using TIMA (TESCAN SEM) With
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Artificial Intelligence, with an emphasis on developing methodologies and techniques for Evolutionary Computation and Machine Learning. Work Plan: State-of-the-art survey of Evolutionary Algorithms and Large
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; Development of Fairness algorithms for online learning; Writing of an scientific article or extended abstract to be submitted to a conference or workshop. 4.2. When the academic degree or diploma is awarded
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to or higher than 16 points. 4. Work Plan: 4.1. The purpose of this contract is to perform the following tasks: Literature review in artificial intelligence algorithms for Dataset Curation; Development
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integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract
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to or higher than 16 points. 4. Work Plan: 4.1. The purpose of this contract is to perform the following tasks: Literature review in artificial intelligence algorithms for multi target contexts; Development
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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with