149 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Forschungszentrum Jülich in Germany
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the comprehensive training programme of the graduate school HDS-LEE https://www.hds-lee.de/ A structured doctoral degree programme via our doctoral researchers’ platform JuDocs https://www.fz-juelich.de/judocs
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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engineering laboratory facility. Your task will include: Construction and commissioning of the new reaction engineering plant Development and synthesis of inductively heatable, heterogeneous catalysts Operating
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of liquid electrolytes for sodium-ion batteries (NIBs) as a strategic alternative to lithium-ion technology, supporting the European energy and mobility transition. Your tasks in detail: Identification
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-experience may be gained throughout the project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which this position is
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are mostly used for their heat-energy properties. The MiningBrines project funded by the EU Horizon program aims to develop a strategy to extract CRM and other materials from geothermal brines while
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manufacturing in resource strategies and system models for evaluating long-term transformation paths Your Profile: Excellent master`s degree in engineering, materials science, industrial engineering, energy
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of results through high-quality publications and open-source software contributions Your Profile: Master’s degree in chemical engineering, biotechnology, computational biophysics, bioinformatics, data science
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, enabling you to build and expand your scientific network PERSONAL DEVELOPMENT: Integration to the JuDocs Center ( Jülich Center for Doctoral Researchers and Supervisors: https://go.fzj.de/JuDocs ) offering
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning