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these challenges through the development of novel bioinformatic tools and frameworks, thereby enhancing the utility and accuracy of hybridization capture sequencing. Core objectives and deliverables of the PhD
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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Desirable experience and skills: Experience with bioinformatics FELASA certification for mouse experimental work Interest in evolutionary biology You have an interest in symbiotic microorganisms About Globe
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novel mass spectrometric techniques to improve proteome analysis. Collaborative Environment: Join an interdisciplinary team with microbiology, bioinformatics, and mass spectrometry expertise. State
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bioinformatics and modeling of the complex microbial communities that shape our world. We are seeking a highly motivated PhD student to develop scalable probabilistic machine learning models and algorithms
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
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Job Description At the DTU Food research group in Genetic Epidemiology, we are looking for a PhD student with an interest in quantitative epidemiology, bioinformatics and antimicrobial resistance
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the following qualifications: Must hold an MSc degree in areas such as Microbiology/Biochemistry/ Bioinformatics, Bioengineering, or other relevant to this position. Strong writing and communication skills Able
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- Microbial molecular biology - Bioinformatics (transcriptomics, metagenomics) - Metabolomics Good English language skills are essential. The main criterion for selection will be the research potential