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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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diseases. AD is the most common cause of dementia, characterized by progressive decline in memory, thinking, and reasoning. FTD accounts for 10–20% of all dementias and is particularly impactful due to its
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initiative investigating how human-specific features of brain development shape early behavior and neural circuit function in autism spectrum disorders (ASD). This position is a joint effort between the
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the criteria of KU Leuven (more information available here ). Relevant experience (e.g., molecular biology, cellular physiology, neuroscience, animal behavior, computational methods, etc.) is a plus. Candidates
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adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With
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problems in biology by combining machine learning with in-depth knowledge of biological processes. Who we are looking for You have a Master in Science (Bioengineering, Biochemistry-Biotechnology, Biomedical