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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
studies with patient-derived models and clinically relevant preclinical systems, we seek to identify novel therapeutic vulnerabilities that can ultimately improve treatment options for patients with SCLC
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, through course information or thesis deliverables in the application Skilled in either computational modelling or experimentation, paired with the willingness to work on both Personal characteristics
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during the selection process: Good understanding of Software Engineering or Systems Engineering fundamentals Experience with modeling of software and/or system architecture Experience with agentic
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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Development of simulation and optimisation models for smart charging and bidirectional charging of electric vehicles Modelling of renewable energy generation and consumption within energy communities
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prediction reliability and robustness Estimate path flows, boundary conditions, and other key inputs for large-scale traffic models Design scalable methods for real-time traffic prediction and uncertainty
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for one fixed operating point and cannot adapt when grid conditions change. In this project you change how carbon-aware AI is designed. Instead of producing a single “best” model, you will use neural
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simulation codes such as Geant4 and/or multiscale modeling approaches will be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5822-FLOJAC-103/Default.aspx Requirements
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options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal
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scientific conferences and events. V - Initial grant duration: 12 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I - Monthly grant amount (paid by