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. For example, investigating costs and benefits related to the adoption of state-of-the-art technologies that permit tracking and chain of custody. The team will also explore machine learning and artificial
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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optimize experimental protocols, analyze complex datasets, and contribute to scholarly publications. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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on addressing this question which lies at the heart of understanding high-impact flooding in an ever warmer and wetter world. RAPTURE brings together high resolution physical simulations, machine-learning climate
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, Diploma, PhD and Teacher Education programmes. Your future workplace will be in the area of English Language Teaching and Learning Research / Subject Didactics of English (team of Univ.-Prof. Dr Hüttner
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
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records commensurate with grade Desirable criteria Ability to carry out statistical analysis of genetic data Up to date knowledge of machine learning methods applied to clinical and omics data Experience in
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PhD in materials chemistry, membranes, polymer science and engineering related areas. The applicant should be capable of working under their own initiative and should be familiar with common laboratory
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate