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“Quantitative predictions of protein – DNA interactions from high-throughput biophysical binding data”. Sequence specific binding and recognition between transcription factors and DNA control gene expression at
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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focuses on the development of novel fluorinated amino acids as a 19F-NMR probe to study protein dynamics and protein-ligand interaction to facilitate drug discovery. It is financed by SciLifeLab, and hence
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transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis
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, influenced by complex interactions of genetics, environment, and socio-cultural factors. Precision medicine seeks to enhance prediction, prevention, diagnosis, and treatment by integrating diverse data types
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the various programs and in the platform’s management team, as well as in the practical laboratory work within the unit. You will also actively participate, interact, and communicate knowledge regarding
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2025 or as agreed. The PhD student will participate in activities provided by the Department of Medical Biochemistry and Biophysics, thus providing interaction with researchers from different research
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molecular biology project is to combine image processing and AI to develop a framework for large scale registration, and interactive visualization and analysis of 4 different types of in situ image
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efficiently interact in the interdisciplinary project. We seek candidates with a strong computer science, mathematics, statistics, or bioinformatics background and strong programming skills. Some previous
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, systematic, and problem-solving attitude being central to the sought-after candidate. Excellent communication skills in both spoken and written English are a must, as is the ability to interact and work in a