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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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Qualifications Essential Qualifications • PhD in mathematics, science or STEM education research or equivalent (e.g., PhD in biological field with dissertation on discipline-based education research) • Experience
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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focus on power electronics and control technology as well as a subsequent PhD in a related field, ideally involving system modelling and/or power electronic systems Proven experience in modelling and
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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external) ) is hiring a post-doctoral researcher for at least one calendar-year (with the possibility of an additional year) to work on a variety of projects requiring expertise in large scale mathematical
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 5 days ago
to design novel anticancer treatments. In our studies we use human and mouse cancer cell lines and syngeneic as well as xenograft tumour models in mice. We also use 3D cell cultures, co-culture techniques
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. The Department of Cell Biology is looking for a postdoc candidate to conduct research on tissue morphogenesis using zebrafish as a model system. The candidate will ideally have a training in
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques