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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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) with particular focus on the role of blood vessels. The postdoctoral candidate will work closely with researchers in the team as well as with our collaborators and be responsible for data analysis
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-der-valk/ ). We are looking for someone with a passionate interest in insect phylogeny and evolution, and with strong competence in de novo genome assembly and phylogenomic analysis. The successful
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that are motivated to help each other are highly encouraged to apply. Please describe in your summary of current work what type of analysis and tools you would like to develop in the lab, based on your previous
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collaboration with the group led by Asst. Prof. Gina Panopoulou. This includes code development, analysis and interpretation of data, writing manuscripts for publication and presenting work at relevant
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materials characterization, high resolution (in situ) microscopy, and synchrotron analysis. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up
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that are motivated to help each other are highly encouraged to apply. Please describe in your summary of current work what type of analysis and tools you would like to develop in the lab, based on your previous
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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group works on structural and functional characterizing of molecular mechanisms of bacterial antiphage immunity. Professor Vasili Hauryliuk leads the Molecular Enzymology group at the Department
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processing Programming skills (e.g. Python or MATLAB) Statistical analysis A strong publication record * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met