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of Dutch; interest in working on interdisciplinary topics, in interdisciplinary teams. Candidates, who have: software engineering skills quantitative skills, including survey development, statistical
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large datasets acquired under challenging conditions. This allows us to gain statistically relevant data and map out the influence of external parameters while working under relevant conditions. In situ
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the statistical design of experiments, the analysis of the fermented materials by physico-chemical methods(LC-MS, NMR) and specific functional assays, as well as the assessment of the beneficial effect
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PhD on Motives for Statistical Reporting Practices (1.0 FTE) (V24.0329) « Back to the overview Job description Statistical results of empirical studies in the behavioral and social sciences have
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and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title
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of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible
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(CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require identifying relevant treatments and their associated Health Resource
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. Desired qualifications experience with omics, big data, and statistics using R or similar tools good understanding of biological disease processes and ophthalmology experience using AI to predict health
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Nurse Scheduling – DTU Management Kgs. Lyngby, Denmark Be the First to Apply Job Description Do you want to shape the future of healthcare in the era of digitalization with a focus on scientific research? Then we have the...
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work in a consortium consisting of university groups with complementary skills in fluid dynamics and statistical physics (Fluids and Flows, TU/e) and machine-learning techniques (AMLab, UvA), and