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-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding
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essential. Teaching responsibilities will include participation in and development of graduate courses and strong engagement with Tsinghua SIGS’s core curriculum. Supervision of PhD and MSc students and
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to both rural and urban areas, and address sustainability in agriculture, urban and natural land uses. Together with colleagues you teach students at Bsc and Msc level in spatial research methods and
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: https://cordis.europa.eu/project/id/101226686 and visit BIO-MICRO – Advancing micronutrient diagnostics for personalised ICU care Salary scale: Market competitive based on a 40hour week, depending on
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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits, such as grain yield, adaptation
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/Qualifications Requirements: Msc. degree in computer science, engineering, mathematics, or related areas. Strong skills in the areas of mathematical statistics, optimal control, stochastic processes. Relevant
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parameters, and statistical data analyses (like, e.g., bootstrapped correlation and response functions, regression frameworks, multivariate statistics using R) Where to apply Website https://www.jobbnorge.no
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for leading or contributing to the School’s delivery of BSc and MSc programmes, driving growth in PhD enrolment, and embedding statistical research across the Research Clusters within University College Cork’s
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 22 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 29 days ago
diseases (e.g.,dengue), using multi-model ensembles and scenario-based projections.The project combines process-basedeco-epidemiological models with statistical/ML approaches and health-economicmodelling