156 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Forschungszentrum Jülich
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between
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structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de
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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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explicitly extend these models to capture temporal structure within spike trains thereby moving towards analyses that are sensitive not just to firing rates but also precise timing relationships underpinning
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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processing and inversion techniques to experimental data from different regions and link the findings to relevant processes of the soil-plant system. For further information visit our website http://www.fz
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Design, set up, and operate experimental systems for circuit-level measurements and data analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer
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: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including
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alongside work Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically
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the project The following publications are related to the work to be performed within this project: Your Profile: Excellent master`s degree in Chemistry, Physics, Engineering, Material science or a similar