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Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply until 04/11/2025 (DD/MM/YYYY) 23:59 (Brussels time) → Faculty
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply until 04/11/2025 (DD/MM/YYYY) 23:59 (Brussels time
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English fluently (proficiency in other EU official languages will be considered an asset); You have experience in quantitative analysis, network analysis and familiarity with computational methods is a plus
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Let’s shape the future - University of Antwerp The University of Antwerp is
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in the field of computational political science. Position You will assist in the ongoing research project DEMO-LIES on the link between political representation and political disinformation, funded by
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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chemistry economy. The main objective of this multidisciplinary project is the experimental and computational (through plasma chemistry and reactor modelling) investigation of possible approaches to process
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. Applications will be accepted until the position is filled. Job profile The successful candidate will train recurrent neural networks to learn the generative structure of existing behavioral, EEG and MEG data