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We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental
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prediction, most current models still describe proteins largely as static structures and do not fully capture the conformational ensembles that underlie protein function. This PhD project aims to address
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advance the ability to predict disease progression and response to specific therapies. Duties The doctoral student will primarily devote their time to graduate education. Other departmental duties
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for cardiometabolic and liver diseases. Current therapeutic strategies largely operate at the gene level, overlooking the functional diversity generated by alternative splicing. This project addresses this critical gap
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statistics, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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the following qualifications: PhD in a relevant research area (e.g. Physiology, Molecular Biology). Highly motivated, proactive and diligent. Ability to work independently and in a team. Experience
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independence, scientific rigour, strong written and spoken English, and the ability to work well within a collaborative team. What do we offer? A creative and inspiring environment full of expertise and
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revised and extended based on current developments and results. We expect the student to take an active role in project development. About the employment The employment is a temporary position according to