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tissue using spatial transcriptomics, electrophysiology, imaging-based assays, and integrative data analysis. The goal is to map disease-related cellular states and spatial patterns of dysfunction in
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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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conferences. You will work in a team working on a DSS which requires code and data sharing and good team work. The duties may also include participation in teaching and other departmental work (however, a
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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. One of the ongoing projects consists of the development of a computational code for topology optimization of continuum structures considering transient dynamic loading via explicit finite element
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intracellular or extracellular bacteria. Analysis of DNA damage markers, levels of m6A machinery (writers, erasers and readers), and host cell response in 2D and 3D culture models by biochemical and imaging
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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communication with the Swedish marine industry will take place on a regular basis. Main responsibilities As a full-time doctoral student, you will be expected to independently develop numerical methods and codes
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dimensional structures of proteins impact codon choices in coding genes. The recruited doctoral student will develop methods to broadly study patterns of codon usage across organisms and apply large scale