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We are seeking a highly motivated and enthusiastic Early Career Researcher with an interest in big data and genomics to join a pioneering project embedded within the Our Future Health initiative
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. - Solid experience in large-scale biodiversity data analysis and the use of statistical models. - Strong writing and communication skills. - Flexibility and adaptability. - Rigorous and self-motivated
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 3 hours ago
methodological framework enabling large-scale, automated analysis of the transparency and coherence of data collection practices in mobile mobility applications. The assignments will notably include: analysing
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Position Details Position Information Requisition Number Stu04895P Home Org Name Clinical Sciences Division Name College of Veterinary Medicine Position Title Student Worker - JTV Large Animal
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk
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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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, preferably two years. Ph.D. training in clinical pharmacy, social & administrative pharmacy, pharmacy education, or pharmacy informatics/big data analysis. Experience in pharmacy practice Demonstrated ability
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/37947 Job Number SE144024 Position Information Department or Unit Name Career and
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secure data platforms Large-scale clinical, imaging, EHR, and omics datasets through DAPHI and institutional collaborations A dynamic, interdisciplinary community of data scientists, statisticians