27 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" scholarships at University of Antwerp
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of diversity issues for teaching and research staff. Rest assured that this information will remain confidential. More details on gender and diversity policies are available at: https://www.ulb.be/fr
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or age. We encourage people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/doctoral-scholarshi
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IDLab research on flexible and deterministic networking at the University of Antwerp (https://www.uantwerpen.be/en/research-groups/idlab/research-areas/flexible-deterministic-networking/) The selection
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environmental thresholds for mangrove establishment and coastal protection. This computer modelling step may be elaborated by the PhD student or another post-doctoral researcher working on the project, depending
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diverse characteristics to apply. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/doctoral-scholarshi… Requirements Research FieldArchitectureYears of Research Experience1
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wave-transformation models (including SWAN) to identify critical environmental thresholds for mangrove establishment and coastal protection. This computer modelling step may be elaborated by the PhD
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course for the future – a future that you can help to shape. The Built Heritage Lab in research group Antwerp Cultural Heritage Sciences, (https://www.uantwerpen.be/en/research-groups/arches/) in
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defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The research will be conducted within the VLAIO ICON NEXT-WIND
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of Applied Mathematics: Statistics Position You will work actively on the preparation of a PhD thesis in the field of statistics and machine learning. The envisioned topic is practical challenges of causal
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microkinetic modelling or/and machine learning, especially in the area of polymer design, is valued. Experience with modelling macromolecular structures or/and predicting polymer material properties is highly