162 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at Forschungszentrum Jülich in Germany
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Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
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heteroepitaxial systems Develop strategies to compensate internal stress and mechanical deformation. Explore the spatial and vertical confinement of ionic and electronic charge carriers and their scattering
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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
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, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
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cells to develop a quantitative model. Once established, predicted separation mechanisms need to be tested.You will perform these experiments. Your tasks will include: Adapt existing DNA labeling
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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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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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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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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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structure and phase purity using X-ray diffraction. Prepare samples for TEM using plasma FIB. Analyze the microstructure, interface sharpness and defect distributions using TEM. Correlate MBE growth