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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods
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in some other way. For the announced position, a degree (or substantially equivalent knowledge) in bioinformatics, precision medicine, molecular biotechnology, or a related field is required. A degree
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deepest branches of the tree of life with the help of bioinformatics and experimental molecular techniques. Research about how chemicals of anthropogenic origin interact with cellular functions and cause
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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at a maximum level of 20 %. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in Machine learning, Computer science, Bioinformatics
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components of organisms’ general life-history decisions. The work involves accumulation of mutations in different fly lines, extracting DNA and building libraries for sequencing, as well as bioinformatics
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unicellular microalgae used in biotechnological applications. Your research will focus on investigations of the biosynthesis and modification of the cell wall of Chlorophyta. Using bioinformatic tools you will
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merited. NMR spectroscopy, target and non-target mass spectrometry and liquid chromatography are highly merited. anaerobic bioprocesses is merited. microbial community analyses is merited. bioinformatics