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Field
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. Our own GMP laboratories and close networking with University and University Hospital offer excellent opportunities for clinical translation of novel immune cell products. The Algorithmic Bioinformatics
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The Medical University of Vienna invites applications for all currently open PhD positions in its 18 PhD programs. Our university is a leader in transnational basic and applied (medicine) research and has an excellent infrastructure that invites you to do research, learn state-of-the-art methods...
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combination of advanced image processing, dedicated bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of vascular surgery, biology, and imaging
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evolution to better understand pediatric cancers? Here is your chance to contribute to science that makes a difference! The Cresswell Group is recruiting a PhD student (f/m/d) interested in bioinformatics
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strategies of patient care. To do this, advanced molecular, sequencing and bioinformatic tools will be utilised alongside clinical data that will provide a link between the genomic and epidemiological data
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bioinformatics facilities and a state-of-the-art Endoscopy Unit, one of the largest in Europe, performing at least 40,000 endoscopic procedures a year. The PhD candidate will work wtihin a multidisciplinary team
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including, DNA isolation, library preparation and sequencing as well as bioinformatic skills to analyse the acquired sequencing data. The project will be carried out under the supervision of Dr Rushworth
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University in microbiology, biotechnology, bioinformatics, or related disciplines. Research experiences in a microbiology/biotechnology laboratory would be fine. Furthermore, we are looking for: Knowledge
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completed MSc degree in the areas of microbiology, biotechnology, bioinformatics, or related disciplines. • Experience working in a microbiology/biotechnology laboratory. • Knowledge of next-generation
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, and from the experience of generating and communicating data to diverse stakeholders. You will develop skills in study design and state-of-the-art bioinformatics, statistics and genomic epidemiology