56 developer-"https:" "https:" "https:" "UCL" PhD positions at Forschungszentrum Jülich
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datasets with machine learning methods, and software development are beneficial Good organisational skills and ability to work systematically, independently and collaboratively Effective communication skills
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such as hydrogen and methane. Currently these geothermal wells are mostly used for their heat-energy properties. The MiningBrines project funded by the EU Horizon program aims to develop a strategy to
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: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https
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usable in continuum-scale soil and plant-water models Contribute to the development and documentation of reusable, open, and reproducible molecular simulation workflows Collaborate with researchers working
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heteroepitaxial systems. Develop materials design strategies to improve catalyst performances, such as activity and stability. Perform active research on the materials synthesis, characterization, and catalyst
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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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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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devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems
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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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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning