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Field
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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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biology, proteomics, cutting-edge microscopy, structural biology, technology development, and bioinformatics. VIB provides a highly interactive environment and ample training opportunities for its
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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
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vivo human tissue studies and in vivo rodent modeling. Expertise in human genomics, biology of neuronal and glial cell types, and computational and bioinformatic skills required for genomics data
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techniques, DNA extraction, end-point and qPCR, sequence analyses, targeted sequencing, serological assays, antibody analyses, bioinformatics and statistical analyses, compiling results, and writing scientific
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, genomics lab work and bioinformatic analyses, and common garden experimental work in an international interdisciplinary team. For a position as a PhD candidate, the goal is a completed doctoral education up
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for wastewater treatment, do analysis of both sludge and water by using various analytical instruments, and conduct bioinformatic analysis. Candidates with high motivation and degrees in environmental engineering
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profitability for Australian grain growers and breeders. We are seeking a PhD student who is interested in performing PhD on applied bioinformatics. Scholarship of $70,000 AUD will be offered to successful
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-cancer pharmacology Experience working with large datasets Experience with bioinformatic approaches, including the analysis of next-generation sequencing data sets Experience with CRISPR-based approaches