33 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at University of Antwerp in Belgium
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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
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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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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
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. Neuron, 2019, Murdock et al., Nature, 2024). The doctoral fellow will acquire and analyze resting-state fMRI, intravoxel incoherent motion MRI, SynVesT-1-PET and Tau-PET data and link the imaging and
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you can communicate in simple terms. If you do not yet master Dutch, you make arrangements in your goal-setting interview to still acquire sufficient adequate knowledge (i.e. at least as a basic user