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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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as a member of the GHER contributing to the EU research project COMEDI in a consortium of 11 leading partners in the field of data assimilation and deep learning. A successful applicant will develop
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linking: PVD process → thin-film morphology → electrode microstructure → electrochemical behaviour → full-cell performance The two successful candidates will investigate how the morphology and physical
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cleaning, filtering, etc.).•Expertise in data fusion and relevant algorithms (deep learning, generative AI, kernel methods, Bayesian methods). •Preferably, experience with high-content imaging or cell
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at researchers in a situation of international mobility, who have not resided or carried out their main activity (work, studies, etc.) in Belgium for more than 24 months during the three years preceding the start
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-solving across a range of fields, including sustainable biotechnology, cell and gene biotechnology, chemical engineering, food technology, nature-based solutions, and sustainable cities. In 2015, prof
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safety and toxicology, and (3) nutritional epidemiology and data analysis, in close collaboration with the coordinator of the cell laboratories in BW23, who provides technical support with in-house
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data analysis, in close collaboration with the coordinator of the cell laboratories in BW23, who provides technical support with in-house expertise You will assist in teaching activities at Bachelor and
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines