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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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evaluating designed backbones and predicting the functional effects of protein variants. In addition, the doctoral student will be part of the DDLS initiative, and participate in the DDLS Research School
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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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prediction or patient stratification based on, among other things, molecular data. More information about the group’s activities can be found at: https://www.uu.se/en/department/immunology-genetics-and
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for variant effect prediction. Good knowledge of human prehistory and human evolution. Good knowledge of statistics. Training in bioinformatics, genomics, molecular genetics is advantageous. How to apply
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to predict molecular patterns and disease outcomes Contribute to collaborations to develop new, transdisciplinary studies within the project Contribute to undergraduate education by supervising students in