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quantitative Mass Spectrometry-based proteomics methods for this project. The successful candidate will work closely with experts in bioinformatics and in cellular signalling to make informed decisions on data
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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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-based proteomics Strong track record in both method development and application of single-cell proteomics by MS (scp-MS) workflows Advanced computational/bioinformatics analysis skills Experience with
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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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, recombineering, or other genetic/genomic engineering techniques Bioinformatics for sequencing data analysis Cultivation and growth analysis of microbial cultures Biochemistry, particularly in the context protein
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handling and cell sorting equipment (e.g. iDOT or CellenOne) Fundamental knowledge about FACS and other cell isolation / analysis techniques Sufficient level of computational / bioinformatics analysis
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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
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, as well as bioinformatic analysis. Programming skills: e.g. R, Unix, Matlab. A strong innovative approach to the research field. Experience, know-how, and vision for integration of scientific findings