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one of 17 doctoral students across the entire network, and one of 3 doctoral candidates based at Helmholtz-Zentrum Hereon. Your tasks You focus on developing your PhD project In silico optimization
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models to collaborate, adapt, and forget outdated knowledge intelligently, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer
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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing
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) Network with globally leading academic and industrial partners Optimal conditions for balancing work and private life, and a family-conscious corporate policy Possibility of time- and location-flexible
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well as surface and bond properties Determination of sorption properties of An-MOFs towards fission products Development of novel An-MOFs with optimized sorption properties Presentation of the results in scientific
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The advertized subproject is fully funded by the Marie Skłodowska-Curie European Training Network “SPACER“. It will be carried out by one doctoral candidate at Fraunhofer ICT, (PhD supervision
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, optimize and extend existing setups, develop a novel setup to perform an absolute radiometric calibration Perform a line-of-sight calibration to precisely align the instrument’s viewing geometry with
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for Doctoral Researchers and Supervisors: www.fz-juelich.de/en/judocs ) Network with globally leading academic and industrial partners Optimal conditions for balancing work and private life, and a family