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Predicting reservoir and wellbore scaling in geothermal developments through integrated subsurface interpretation and modelling Award Summary 100% home fees covered, and a minimum tax-free annual
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Investigating how water-rock interactions influence geothermal reservoir sustainability using experiments and geochemical modelling Award Summary 100% home fees covered, and a minimum tax-free
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. Apply data-driven dynamical system modeling tools using specialized software
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REQUIREMENTS Computer Science is seeking a motivated graduate student to work on an interdisciplinary project developing AI agents that simulate human behavior and adaptation during urban disasters. The project
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The University
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from collaborators AgRenSeq Data analysis for disease resistance data from collaborators RNAseq analysis for tetraploid potato Running genomic selection models for tetraploid potato Assisting students
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, adapting or evaluating machine-learning or deep-learning models. You should also have experience of organising datasets, conducting computational experiments and interpreting quantitative results. Working
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, logic models, and evaluation frameworks to assess educational program outcomes Supports the development of research study design aligned with program objectives, including the design of logic model design