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an interactive, LLM-based AI system for materials science research. This is a unique position that sits at the intersection of artificial intelligence, materials science, human–computer interaction, and research
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programming, GeoAI, deep learning foundation models, drone and field work experience. Demonstrated high level of achievement in related research productivity and academic writing. Technical skills in computer
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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the end-to-end discovery process, including data preparation, statistical analysis, and methods for extracting meaningful insights from large datasets. Core machine learning techniques such as decision tree
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a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse data and conduct advanced statistical
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IT EDW Operations Full Time 87012BR Job Summary The Machine Learning and Data engineer role will lead the development, implementation, and maintenance of data pipelines and infrastructure to support
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, LangChain, HuggingFace, axolotl. Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Professional experience developing solutions using NLP, computer vision, or
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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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Preferred Qualifications Postdoctoral or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with
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methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project City