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                applications for Junior Research Group Leaders to utilize artificial intelligence (AI) to address the following focus areas: AI-supported Mechanistic Mathematical Modelling and Simulation Computational Network 
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                Optimal conditions for balancing work and private life, as well as a family-friendly company policy Flexible working time models and a job that can be individually tailored to between at least 20 and up 
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                , static user representations, and data sparsity. While deep learning models offer improvements, they often come with high computational costs and require frequent retraining, which limits their scalability 
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                footing Affinity to or personal experience in scientific research You don`t need to check all the boxes above to apply to this position. We are looking for you as a person, not as a mere profile. Our Offer 
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                generally available after consultation and in line with upcoming tasks and (on-site) appointments FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full 
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                , one of Europe’s most research-dense regions Flexible working hours, part-time models A corporate culture of appreciation and promotion of equal opportunities Extensive training and continuing education 
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                generally available after consultation and in line with upcoming tasks and (on-site) appointments FLEXIBILITY: Flexible working time models, including options close to full-time ( go.fzj.de/near-full-time 
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                play a leading role in the Fraunhofer Institute for Applied Information Technology FIT (Branch Business & Information Systems Engineering) to commence as soon as possible as a fixed-term civil service 
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                products and processes. Our Competence Center deals with conceptual and economic issues of strategies and business models for the energy transition in Germany. The focus is on municipal and private-sector 
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                check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical