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(quantitative research methods and advanced proficiency in statistical software such as Mplus, R, etc.) • Teaching experience/experience in e-learning • Experience in student supervision • Excellent
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students. You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD
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rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks among urban growth, social vulnerability
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University Assistant Praedoc to join the dynamic research team led by Univ. Prof. Sara Merino Aceituno, PhD. The research areas developed by the team are in particular related to kinetic theory applied
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are currently looking for PhD candidates for 5 different research topics. The position advertised here focuses on affordances of open science infrastructures. Data sharing is central to contemporary science. As
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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, including devices and software. You analyze data from Ecological Momentary Assessment studies. You contribute to manuscripts for international peer-reviewed journals You contribute to grant applications and
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To support the creation of reports or other formal documentation for university committees and senior staff To respond promptly to requests for documentation and information from the Rector’s Office and other
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candidate will have prior exposure to modern developments in at least one of these fields: numerical analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical
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to invite applications for a University Assistant (Praedoc / PhD Candidate) to join the research team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial