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and deadlines, please visit: http://www.jsmc.uni-jena.de . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs SUPPORT
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 6 hours ago
for some examples: https://www.demogr.mpg.de/go/career-development . We value diversity and are keen to employ individuals from minorities and under-represented groups. The Max Planck Society is committed
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the development of a sustainable data infrastructure with automated methods for identifying political disinformation across multiple platforms, along with effective communication strategies for education and
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. An annual course programme offers scientific workshops as well as transferable skills (e.g. academic presenting, intercultural communication, project management, career development). A special mentoring
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 17 hours ago
their career. See the link below for some examples: https://www.demogr.mpg.de/go/career-development . We value diversity and are keen to employ individuals from minorities and under-represented groups. The Max
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Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power
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Your Job: Strategic development of the research field on material availability in global energy system transformations, building on the content of the ERC Starting Grant Independent project
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). Tasks: scientific research and development work in the fields of material development, polymer synthesis, and fiber spinning planning, conducting, and evaluating experimental
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context