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Number of Opportunities Available: 1 Primary supervisor – Prof Mark Webber The microbes which live as part of our microbiomes can play important roles in our health. One example of this is in
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, genetics or bioinformatics. They must have completed a relevant Bachelor’s Degree and Honour’s or Master’s. Desirable criteria: Practical experience and conceptual background in cellular immunology. Interest
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meet the following criteria: Essential Qualifications: Applicants for PhD must have a first-class or upper second-class undergraduate degree (or equivalent) in Neuroscience, Biochemistry, Bioinformatics
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remain open until filled. Position will remain open until filled. 2 available. 2 available. Applicants need to have a background in immunology, genetics or bioinformatics. They must have completed a
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Primary supervisor – Dr Falk Hildebrand We are looking for a motivated and computationally interested student, to work on a bioinformatic project on cutting-edge metagenomics and clinical
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
of Cellular Biophysics (Prof. Dr. Joachim P. Spatz) invites applications for PhD students (m/f/d) in the field of synthetic biology and bioinformatics starting as soon as possible. Your tasks The project
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bioinformatics. We are looking for a talented and strongly motivated PhD student to join our enthusiastic and young interdisciplinary teams of Prof. Dmitriev (Tissue Engineering and Biomaterials Group, https
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for a candidate with a background in microbiology. Experience in microbial culture techniques and some familiarity with genomic data analysis or bioinformatic pipelines would be highly advantageous. Given
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disorders. This specific project aims at understanding the role of B cells and plasma cells in neuroinflammation and will be performed in the BMC in the lab of Prof. Dr. Edgar Meinl. We are looking for you
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging