150 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Forschungszentrum Jülich in Germany
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your work, you support the research of scientific guests at the MLZ. You will not be alone in this, but you will be supported by technicians and software developers. Furthermore, in cooperation with
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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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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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Your Job: Join the SIB:DE FORSCHUNG (Sodium-Ion-Battery Germany Research) project, funded by the Federal Ministry of Education and Research (BMBF), and actively contribute to the development
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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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, 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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, 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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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