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brain health and neurodegeneration, with a strong track record in myeloid biology, immune trafficking, and α-synuclein pathology. The clinical team at UZA brings deep expertise in movement disorders and
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brings deep expertise in movement disorders and longitudinal cohort management. Together we offer a highly collaborative, translational environment embedded in VIB and the University of Antwerp. Position
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different disciplines, organize courses at the University of Antwerp and teach modules at the different universities in Flanders and during the FLAMES Summer School. The courses you will teach may include
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction
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aberration corrected TEM You have advanced experience with EELS and/or CL You have hands-on experience with light injection or collection in TEM You are motivated to learn electron tomography and SEEBIC
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
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the Accounting domain. Your teaching role evolves along with the study programmes and language certificates obtained (see also below – Profile – for further details). The courses you teach may include courses in
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. You may also teach methodological courses in the future. You will contribute to the development of activating, student-centred, and competence-driven programme components and study programmes. You will
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to model zeolite formation as a dynamic network of growing and dissolving clusters. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials