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to address critical issues related to the reliability and quality of large language models (LLMs) such as ChatGPT and Gemini. These models are increasingly used in essential sectors like healthcare, education
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methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models
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..[AB5] [BF6] [AB7] Merits are: Skills and experiences of diverse microscopy techniques, especially electron microscopy, computational programming and modeling are qualifying. Consideration will also be
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] [AB7] Merits are: Skills and experiences of diverse microscopy techniques, especially electron microscopy, computational programming and modeling are qualifying. Consideration will also be given
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have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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-studies/. Background and description of tasks PhD project 1: The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes
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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model