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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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, offers a broad range of disciplines and competes internationally in top-level research. The University of Bremen provides its own Central Research Development Fund (CRDF) and invites postdoctoral
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of this position is the use of AI to support software development teams. Successful applicants must hold an excellent MSc degree (or equivalent, e.g. Diploma) in an AI-related discipline, e.g. computer
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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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dynamic and highly active research field KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs 30 days of annual leave Further development of your
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Expertise in software development with Python, database and search engine technologies, machine learning frameworks, semantic web technologies, Docker Desired: expertise in working with scholarly data
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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. Empirical data will be used to support the development and parameterization of the agent-based model, enabling a more realistic representation of IAM travel behavior and its interaction with existing