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biology, field- and experimental work, bioinformatics and statistical modeling. The successful candidate will apply cutting-edge genomic tools to disentangle ecological adaptation and spatiotemporal trends
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a master's degree or equivalent in the field of medical data science, health information technology, or bioinformatics. The applicant must have academic training and practical experience in data
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involve a combination of herbarium study, fieldwork including collections and threat assessments, lab work including DNA processing for high-throughput sequencing, bioinformatics including phylogenetic
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processing for high-throughput sequencing, bioinformatics including phylogenetic analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D
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methods for analyses of large-scale genomic data such as genome-wide analyses, polygenic prediction, Mendelian randomization, functional bioinformatical follow up and network analysis. The project will
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programming languages for bioinformatics or statistical analyses. You need to: Have a strong scientific capacity and analytical skills. Have documented ability for independent, structured work. Show flexibility
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profiling, and bioinformatic analysis. More about the position The main purpose of the fellowship is research training leading to the successful completion of a Ph.D. degree. The duration of the appointment
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oral English skills Preferred: Experience in taxonomy and systematics of algae Experience with microscopy, morphological character analyses, and herbarium work Experience in bioinformatics, molecular
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) for general criteria for the position. Preferred selection criteria Experience with molecular cloning, microbial strain engineering, or gene expression analysis. Experience with bioinformatics or ML-assisted
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments