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: Surname: Name: Date of Birth: In case you have family members who need insurance as well, the same information is needed for them. We need this information at least one month before your arrival to secure
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these fields is not required, what we are looking for is a strong motivation to learn, adapt, and apply these technologies to advance microbiome research. Profile We are looking for a driven and creative PhD
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of UHPC behavior. By monitoring damage processes at an early stage, material optimization can be achieved, and prompt maintenance actions can be taken to prevent compromised performance, ensuring safety and
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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity
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modeling into modern causal inference by combining its strengths with innovations in debiased machine learning, as well as to improve both the statistical efficiency and robustness of debiased machine
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these fields is not required, what we are looking for is a strong motivation to learn, adapt, and apply these technologies to advance microbiome research. Profile We are looking for a driven and creative PhD
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. The suggested theme of the PhD falls within one of the above-mentioned fields and can address current issues in the area of freedom, security and justice, in particular the impact of digitalisation on national
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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to form your job content and to continuously learn through our VUB learning platforms and training courses; Interested? Then apply, at the latest on 30/05/2025 and upload the following documents
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in