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Bioanalytic and Biospectroscopy, we invite applications for: Four PhD Candidates (m/f/d) PhD Position 1 “Preclinical Models” (65%, Bioimaging Group) Ref. Number: 395_2026 PhD Position 2 “Omics-based analysis
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passionate about statistical methodology and motivated by biomedical applications? Join our team on development of latent variable models for multi‑omics and longitudinal data and help advance data‑driven
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to develop 2D and 3D NMJ models for DM1, consisting of different combinations of patient-induced pluripotent stem cell (hiPSC)-derived neuronal and muscle cells, allowing the dissection of pathological
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microstructural descriptors that are physically meaningful and predictive. Probabilistic surrogate modelling and digital twin construction. The extracted microstructural descriptors will be used to learn a
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increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal
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noradrenergic signaling. In close collaboration with the University of Oxford, we combine cutting-edge computational modeling of human behavior with pupillometry and functional magnetic resonance imaging (fMRI
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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) molecular modeling would be an asset but is not required. The PhD candidate will join the Condensed Matter and Electroactive Systems team, specifically the group led by Cyril Poriel. The PhD will be
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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural
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-vestibular), input-related, and voluntary movement-related determinants of HD signals in the mouse model, to elucidate their role in goal-directed navigation. The candidate will study thalamo-cortical and