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), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
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to/ lead the development and implementation of quantitative analysis and statistical modelling to support the project’s aims of assessing the contribution of An. stephensi to malaria transmission relative
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19 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Department of experimental medical science Research Field Medical sciences Computer science Mathematics
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phenotyping of agricultural systems; Application of computational tools for the analysis of complex datasets; Contribution to database/software development; Dissemination of results through publications
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 24 days ago
team spirit Good communication skills Experience programming in python Experience in computational modeling of neural circuits and in the mathematical analysis of neural computations Research experience
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, Mathematics, Statistics, Biology, Engineering, Data Science or Computer Science. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal/Co
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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-cases of network operator-owned active power electronics solutions, such as soft open points, STATCOMs, and hybrid transformers Ability to present complex information effectively to a range of audiences
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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collect data from experiments. This may involve: Conducting literature reviews on relevant topics Analyzing and interpreting data using statistical software for quantitative analysis Preparing the code