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The Department of Computer Science, Section of Software, Data, People, and Society, invites applicants for a PhD fellowship in Graph-based Data Analysis with Applications in Biology. The start date
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. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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“Bioactives – Analysis and Application”. As part of this prestigious Alliance PhD program, you will collaborate closely with Queensland University in Australia and the University of Copenhagen in Denmark
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histopathology, advanced imaging, gene expression profiling, behavioral analysis, and the application of this protocol to test model- and emerging contaminants suspected to be neurotoxic via endocrine mediated
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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hands-on experience in molecular cloning, cell culture systems, mouse models, and interest in liver disease biology. Experience with R or Python and the computational analysis of next-generation
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lymphocytes Basic skills in molecular biology and biochemistry (e.g. cloning, gene expression, protein identification) Analytical skills including analysis of multi-parametric flow cytometry and experience with
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in teaching (preferably in science, science communication, or higher education) experience with immersive technologies (e.g., XR/VR/AR) and/or multimodal data analysis (e.g., eye-tracking, gesture