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, (3) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement AI-based methods and
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, (3) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement AI-based methods and
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for future hydrogen storage tanks. This postdoc vacancy is focused on the finite element modelling and design of the pressurized composite tank, in different operational conditions (static burst, fatigue and
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deformation microscopy, high-field MRI, clinical MRI, PET-MRI, and molecular read-outs. •Applying inverse finite element modeling (FE modeling) for the multiscale mechanical characterization of cartilage
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opportunities for scientific growth, interdisciplinary collaboration, and method development. Relevant publications: Pochinok et al., 2024 Nature Communications Chini et al., 2024 Cell Reports Chini et al., 2022
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opportunities for scientific growth, interdisciplinary collaboration, and method development. Relevant publications: Pochinok et al., 2024 Nature Communications Chini et al., 2024 Cell Reports Chini et al., 2022
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the European Research Council. You will develop and apply NLP methods (application and development of neural network–based models for tasks such as relation extraction, entity identification, classification, and
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presentations. In addition, the following merits are a plus (but not mandatory): Proficiency in other languages spoken in Kurdish regions of Turkey, Syria, Iraq and Iran. Experience with ethnographic methods
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merits are a plus (but not mandatory): Proficiency in Catalan. Experience with ethnographic methods. Demonstrable experience with or knowledge about the subject fields of the project, such as separatist
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their exercises, work placement and Master’s dissertation. You will counsel doctoral students. You are responsible for research on simulation methods for composite pressure vessels for hydrogen storage. WHAT WE