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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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the following: bioinformatics, proteomics, microscopy, biochemistry, structural biology or CRISPR screening in mammalian cells. At least one first author primary paper, or a first author manuscript
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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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to collaborate with fellow researchers, fostering a collaborative and innovative research culture. The ideal candidate has the following skills: PhD in computational biology, bioinformatics, computer science
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of results with international collaborators. Qualifications and assessment criteria: An PhD degree in bioinformatics, bioengineering, computer science or equivalent is preferred. Candidates with relevant MSc
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genomics, bioinformatics, and biomedicine. Contribute to the publication of research findings in high-impact journals. Gain hands-on training in cutting-edge and multidisciplinary research. Required
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, comparative pediatrics and bioinformatics and are the main responsible for the biomedicine track on the veterinary education. Studying interactions between exposure and response in complex biological systems is
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. Responsibilities include, but are not limited to: Cell-based in vitro research within pharmacology, and preferably experience with CRISPRi, RNA sequencing, proteomics, and/or bioinformatic handling of biomedical
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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