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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
adopted in real-world software teams. In relation to this specific postdoc position, the research entails the development of AI Agents to support software project management. The project will give you
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) to recognized researcher (R2) Working environment The team, based at Institut Pasteur de Lille, includes 15 members (4 researchers, 3 engineers, 1 technician, 5 postdocs, and 2 PhD students). Since its creation
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collaboration with Olof Lagerlöf’s group. The postdoc will image (and influence with opto-chemogenetics) the network representation of stimuli of different economic/hedonic value and its plasticity with two
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET
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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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. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes
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excellent benefits, to postdoctoral fellows. To find out more about our benefits for postdocs, check out this link . Highly motivated individuals with a recent Ph.D. in immunology or cell biology and
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collaborative interdisciplinary work is strongly valued. This Position May be Suitable For: Recent graduates or postdocs from leading cryo-EM or single molecule labs To be considered, please email
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, Postdoc (liyan.xie@agro.au.dk ) or Christopher Topping, Professor (cjt@agro.au.dk ). Deadline Applications must be received no later than 24 October 2025. Application procedure Short-listing is used
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and