28 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" positions at University of Antwerp
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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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strong background in shape modelling, deep generative modelling (diffusion/transformers), or multimodal representation learning. You have strong programming skills, especially in Python, and preferably
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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
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(including pig) and tissue fluent user of computer software (e.g., Microsoft 365, SPSS/Prism, EndNote,…) flexibility to learn new skills and develop novel approaches for analysis ability to work independently
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microscopy image interpretation), biological and medical sciences (neuroscience and brain microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in
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at academic conferences and you will publish them in scientific journals. Education You will provide support with teaching and also teach high-quality academic classes yourself in Mathematics. Your teaching
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of Ukrainian and Swedish. At the same time you will test which computational models are most succesful in simulating this learning process. You will publish scientific articles related to the research project
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and stimulating research environment. You will have the opportunity to learn new techniques and skills and to develop yourself as an independent scientist in a high‑performing laboratory. You will be
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opportunity to learn new techniques and skills and to develop yourself as an independent scientist in a high‑performing laboratory. You will be supervised intensively by Vincent Segers and Gilles De Keulenaer