25 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" 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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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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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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(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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imaging, image reconstruction, or deep learning is a plus. You possess above all a curious, positive mindset and perseverance What we offer We offer a fully funded doctoral scholarship for a period of two
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conferences and you will publish them in scientific journals. You will contribute to attracting national and international research funding. Education You will provide support with teaching and also teach high
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application to FWO or another external funding organization (depending on your profile and in consultation with your PhD supervisors). Education You will provide support with teaching and also teach high
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teaching and also teach high-quality academic classes yourself in the field of finance. Your teaching role will evolve along with the study programmes. You will assist in the development of teaching methods
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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