160 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" "https:" positions at Forschungszentrum Jülich
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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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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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, 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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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: 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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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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, 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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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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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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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