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Field
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group of 10 PhD students will join our structured training program and participate in regular scientific exchange e.g. in retreats, colloquia and in tailored workshops. Requirements Candidates should hold
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over-the-top and the ongoing development of 5G and 6G. With new network structures, also conditions for content creation changes; it can be assembled ‘on the fly’ allowing for a highly granular and
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at GFZ Development of innovative and adapted interpretation and modelling methods for RMT data Interpretation of the acquired RMT data with regard to the geological subsurface structure Publication and
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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 field of Computational Neuroscience can apply for association with the programme. They will benefit of structured supervision through the Faculty of the BCCN Berlin and will have access to the lectures
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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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about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s degree in computer science, human
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interdisciplinary manner in an international research team Independent, structured way of working and motivation to pursue scientific research Our Offer: We work on the very latest issues that impact our society and
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in the project “Developing new approaches and structural materials to rebuild damaged Ukrainian infrastructure with environmental sustainability considerations“ funded by the Polish National Science
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normal operations and accident scenarios. This PhD project will first identify state-of-the-art atmospheric dispersion codes that allow the inclusion of structures such as buildings in the considered