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and coordinate with growers, collaborators, and research staff across multiple locations. - Maintain research records and assist with data analysis and reporting. Minimum Qualifications: - Ph.D. in
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. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 1 day ago
of professors and group leaders of different disciplines from all participating institutions forming a highly interactive network of scientific discourse and experimental work. The ILRS is part of the excellence
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to communicate in simple language as well as a willingness to engage with bioethical issues and participate in the public discourse they may provoke. International students are offered the opportunity
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myriad of new techniques and much sought-after skills demanded by industry, including the following: Design of experiments, data harvesting/analysis and interpretation of results to derive insight
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advantages. The appointee will be responsible for conducting pre-clinical research and data analysis, co-ordinating and communicating analysis with collaborators, writing manuscripts and scientific
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of Health & Public Servic Department: UNT-Behavior Analysis-135320 Job Location: Denton Salary: $22.90 per hour FTE: .48 Retirement Eligibility: Not Retirement Eligible About Us - Values Overview: Welcome
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication