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genome editing approaches, as well as co-culture systems modeling neuron–glioma interactions, with the main focus on investigating the impact of neuronal activity on 3D genome organization and cellular
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neural activity influences 3D genomics, the chromatin landscape, and cellular plasticity in glioblastoma. The position is a full-time, two-year appointment. The postdoctoral position is funded by a
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3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
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a new approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation
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approach to high-frequency electromagnetic (georadar or controlled-source electromagnetic CSEM) data modelling based on full wave 3D inversion to expand our competence in the characterisation and monitoring
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3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
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team working on the analysis of multi-modal Earth Observation data for 3D mapping. The position is part of a collaborative, funded project exploring how 3D mapping layers such as building and canopy
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experience with molecular and biochemical laboratory techniques, and proficiency in cell culture (preferably including 3D cell culture models). Excellent command of scientific English and strong general
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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ecosystem functioning. The postdoctoral project will focus on analyzing and modeling tree architecture in relation to forest vitality and stress predisposition. The work will combine 3D structural data (from