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, Mathematics, or a related field. You can provide evidence of excellent study results. You have experience with MATLAB and dynamics systems. Experience in the field of Optometry, Neuroscience and/or Structural
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-derived organoids, cytotoxicity assays, flow cytometry, molecular work and laboratory animal experiments. Good and demonstrable experience in the analysis of biological datasets with informatics techniques
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
machine-learning methods, you will analyze flame-turbulence interactions, pollutant formation, as well as unclosed terms relevant to LES modeling. The analysis involves the fluid dynamic as
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children’s books. Using narrative analysis, close reading and discourse analysis as its main methods, it seeks answers to the following research questions: How is friendship practiced in children’s literature
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predoctoral funding. Preferably, you are eligible for the PhD fellowship fundamental research of the FWO (https://fwo.be/en/support-programmes/all-calls/phd/phd-fellowship-fundamental-research/ ) You will carry
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, Anastasia Papangelou Research domains: Sustainable microbial technology for water and food, environmental systems analysis, enhanced mineral weathering (CO₂ capture), soil carbon, climate mitigation, urban
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about the job itself, please contact: Prof. Dr. Hans Van Haevermaet Particle Physics Group, University of Antwerp E-mail: [email protected] Group website: https://www.uantwerpen.be/en
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policies . You act with attention to quality, integrity, creativity and cooperation. You are fluent in English, both written and oral. Experience with transcriptome and hormone analysis is an asset. You will
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excellent study results. You have a very good and broad knowledge of analysis, dynamical systems and differential geometry. Your teaching competences are in line with the University of Antwerp’s educational
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similar) or you will have obtained it by the time of appointment. You can provide evidence of excellent study results. Experience with analysis and modelling of thermal energy systems is considered a plus