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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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17 Feb 2026 Job Information Organisation/Company University of Malta Department Office for Human Resources Management & Development Research Field Engineering » Other Researcher Profile Recognised
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. The role involves contributing to this research project with a focus on model development, implementation, and testing. Further tasks involve dataset curation, analyzing results, and the creation
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of codes and algorithms. We will focus on devising computational solutions that can immediately be of use in other applications contexts as well. The candidate’s work will entail the development and
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driving our success in this exciting and quickly growing field. Where to apply Website https://cv.newton-6g.eu Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Research
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will be expected to develop a nationally recognized, externally funded research program that is collaborative, interdisciplinary, and self-sustaining. The program should address critical challenges
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passionate about applying ML algorithms and developing AI applied research and innovation solutions using classic ML to novel transformer neural networks. We test and measure the real customer impact of each
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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sophisticated tracking algorithms, AGATA enables precise reconstruction of gamma-ray interaction points, superior Doppler correction, and excellent peak-to-background performance. Working with AGATA provides
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How