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computational chemistry if the applicant has: Master of Science in Computational chemistry, Bioinformatics, Machine Learning, Computer Science, Mathematics, Statistics, Physics, or related discipline. Additional
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trends and produce meaningful data visualisations, as well as experience of working with different bioinformatics tools and statistical methods. The applicant is expected to leverage multi-modal data
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. Project description The project involves using and developing bioinformatic tools for analysis of microbial genome sequences. A particular focus is on further development of our FlaGs tool, the web server
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these attacks, bacteria employ a wide variety of anti-phage defence systems, the most well-known being CRISPR–Cas. In our laboratory, we discover new systems using bioinformatics, validate them through
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degree in a relevant field, such as structural biology, bioinformatics, biochemistry, molecular biology, molecular genetics, molecular cell biology, or a related discipline. Excellent communication skills
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tissue Some documented experience in bioinformatics Experience working with cell cultures The position requires that you are cooperative, analytical (mathematical ability), and genuinely engaged in
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bioinformatics, and analysis of MS-based proteomic data. Very good oral and written proficiency in English. Meritorious for the position are: The assessment of applicants will be based primarily
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, led by professor Isabel Goncalves and associate professor Andreas Edsfeldt, consists of postdocs, doctoral students, bioinformatics and laboratory engineers with both clinical and preclinical
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cytometry, and antibody production, as well as NBIS (National Bioinformatics Infrastructure Sweden). The department hosts a unit within Display and Selection Technologies , which is part of the national
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, bioinformatics, quantitative and structural proteomics, as well as structural biology (cryo‑electron microscopy), to determine the interactions between intact bacteria, bacterial virulence factors, and human