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%) doctoral scholarship holder or postdoctoral researcher in the field of circular value chain modelling and optimisation. Position You will work actively on the preparation and defence of a PhD thesis/Postdoc
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member's task is strongly intertwined with the tasks of the other team members. You will design, train and apply generative models that learn how to complete missing wedges in the reciprocal space of crystal
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datasets. Your focus will be on implementing and training generative models to decompose cylindrical projections. You will solve and refine the structures from the resulting decomposed data. You will map
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tomography research team with, for this position, a particular emphasis on computational imaging and deep learning. Tomography is an image reconstruction technique that leans strongly on large-scale numerical
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, or related discipline. Expertise in macrophage biology and strong interest in neurodegenerative disorders, in particular Parkinson’s disease. Proven experience with transgenic mouse models and techniques like
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, troubleshooting and analysis Experience in Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Ability to adapt to the research environments while being full members
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, troubleshooting and analysis Experience in Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Ability to adapt to the research environments while being full members