40 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Antwerp
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proposals in the field of theoretical computer science, in general, and quantum information and computation, in particular, and contribute to attracting external funding. You will assist in the supervision
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field of molecular and computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to
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rich models without increased cost or workflow complexity. By leveraging AI models trained on high-end imaging modalities, this project will bridge the gap between routine practice and high-fidelity
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will play a role in developing activating, student-centred and competence-driven programme components. You will supervise students and their Master and PhD dissertations. Research You will expand high
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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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report on your progress regularly. You will participate in the doctoral study programme at the Antwerp Doctoral School to support your PhD pathway. You will present the findings of your PhD research
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faculty and university research policies . You perform duties with attention to quality, integrity, creativity and cooperation. You can read, write and speak English with high proficiency. You have
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report on your progress regularly. You will participate in the doctoral study programme at the Antwerp Doctoral School to support your PhD pathway. You will present the findings of your PhD research
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forecasting, particularly wind power generation. Working with data-driven weather prediction models and high-resolution meteorological datasets. Designing deterministic and probabilistic forecasting models