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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing
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-learning by identifying the elements underpinning successful cultures of language-learning through a comparative analysis of Scotland, Wales, Northern Ireland, and Ireland. The successful applicant
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, namely analysis of properties of arbutus, study of technologies for the extraction of functional compounds from arbutus and their characterization, 2) technologies for the conservation of fresh arbutus, 3
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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focused on high-quality data collection, data management, and subsequent AI-driven analysis. The role is well suited for a candidate who is organised, detail-oriented, adaptable, and able to work both
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, integration, and analysis of large, diverse datasets that benefit from high performance computing (HPC) clusters. The objective of this fellowship is to facilitate cross-disciplinary, cross-location research
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or more programming languages for data analysis. • Experience working on clinical trials or behavioral research with human subjects. Equipment Use of personal computer and proficiency in software and
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-time analysis of the VIRGO experiment Where to apply Website https://www.unimib.it/lavora-noi/contratti-ricerca/contratti-ricerca-posizioni-… Requirements Additional Information Eligibility criteria
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programming experience, including proficiency in Python for data analysis Proficiency in Google Slides, with the ability to create clear, executive-ready presentations Ability to work with social media data
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, substance use disorder, epilepsy, and other disorders. Responsibilities As a member of this research team, the Research Scientist is expected to execute across all aspects of medicinal chemistry, including