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and co-creation methodologies; prototyping in real environments where user behaviour and spatial form matter. Across both profiles, you are hands-on, curious, comfortable iterating between theory and
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part of the project, and hence skills in computations and implementation (via codes written in open source software, such as R, Python, ...) are a plus. A good knowledge of written and spoken English is
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systematically different. You will become an expert in predicting the pulsation characteristics of such binary products with numerical methods, e.g. the codes MESA and GYRE. These models will be directly
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must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of
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of Antwerp. See also: https://remotesensing.vito.be/news/sspirit-tackling-plastic-pollution The main task of the KU Leuven PhD project will be the further development and validation of a two versatile
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, interests and background: Wireless communication and signal processing, wireless networking and protocols, mathematical modelling and analysis, algorithm design, estimation theory, machine learning, embedded
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- Experience in image processing and/or - Familiar with rodent behavioural tests and/or - Experience in histology and/or - Familiar with the theory and preferably practical aspect of MRI. You will be responsible
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. Pieter Rauwoens, mail:pieter.rauwoens@kuleuven.be or prof. Sandra Soares-Frazao, mail:sandra.soares-frazao@uclouvain.be Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60598708?hl=en
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. Peter Lievens, mail: peter.lievens@kuleuven.be or Prof. dr. Ewald Janssens, mail: ewald.janssens@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60598386?hl=en
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an application should be addressed along with a detailed CV to Prof. Dimitrios Chronopoulos, mail: dimitrios.chronopoulos@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs