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to: Develop and validate novel computational tools for analyzing metagenomic data from microbiomes Publish peer-reviewed research articles on microbiological discoveries and bioinformatic tools Present and
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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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Innovation, Aalborg University Hospital, and is organized in three research groups: 1) Biostatistics and Bioinformatics, 2) Clinical AI, and 3) Data Science Methods. The PhD student will be a part of the Data
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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 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
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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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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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bioinformatics analyses to select enzymes and linkers for the study. Running high-throughput screening of engineered CAZymes with varying properties and domain orders. Recombinant production of selected enzymes
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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