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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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simulation work Interest in interdisciplinary collaboration and effective communication skills Motivation, curiosity, and a strong desire to further develop research, communication, and project management
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the criteria outlined below and provides an excellent training opportunity for a talented and ambitious scientist. The working ‘day to day’ language in the laboratory is English. Description of the project
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communication skills in English, both written and verbal Meritorious: Strong mathematical background combined with solid programming skills * The date shown in your doctoral degree certificate is the date we use
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in English (spoken and written); knowledge of a Nordic language is considered a merit Ability to work effectively in an international and interdisciplinary environment *The doctoral degree must have
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communication skills in English are an absolute requirement as the working environment is international. The candidate should have experience in scientific writing. We emphasize the importance of personal
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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activities aiming at developing soft skills and at strengthening networks and collaborations in academia and industry. Be part of a strong postdoc community. The Umeå Postdoc Society fosters networking and
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs
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team of TreePPL (www.treeppl.org ), a universal probabilistic programming language and new software for phylogenetics. The successful candidate will be responsible for the user-interface aspects