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integrating data from primary patient samples and experimental models, you will predict evolutionary trajectories and identify novel targets for precision medicine, aiming to enhance treatment responses and
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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cell cultures on chip. The purpose is to develop in vitro models of solid tumors that can be used to study the tumor microenvironment, and also to investigate whether acoustofluidic methods can be used
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. For more information, see www.iob.uu.se . The Physiology and Environmental Toxicology program is a growing, vibrant research environment where experimental models and molecular tools are used to study and
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for phylogenomic analysis. Together with other team members, you will also be developing and implementing the evolutionary models used in the phylogenomic analyses, and in interpreting and publishing the results
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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microtumor models. This work addresses a critical knowledge gap in cancer immunobiology and supports the development of more accurate disease models. Duties The main duty for a doctoral student is to devote
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model