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for animal experimentation, genomics, imaging and bioinformatics, and strong support for PhD training, career development and international mobility. Where to apply Website https://t.ly/bkiAT Requirements
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background in Biology, Neuroscience, Biochemistry, Bioinformatics, Physics, Biomedical Engineering, or other similar field. At least two years of lab experience with imaging, molecular biology, and/or
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
fields Strong background in population genetic theory and experience in using molecular and bioinformatic tools Proficiency in at least one coding language (Phyton), and proficiency in R Preferred
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qualifications: Experience in microbial cultivation, in particular anaerobic cultiv Experience with molecular methods Basic knowledge of bioinformatics Documented experience and demonstrated ability in oral
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bioinformatics. The main responsibilities include: High-throughput sequencing: Applying long-read sequencing technologies (Oxford Nanopore) to quantify DVG populations in cells and virions without PCR bias (Direct
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molecular methods Basic knowledge of bioinformatics Documented experience and demonstrated ability in oral presentations and scientific writing As a person, you thrive on working toward established goals and
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life science environment, and have backgrounds in any of the following fields: cell or developmental biology, immunology, neurobiology, biophysics, theoretical physics, computer science, bioinformatics
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Description Apply for PhD positions in structural, molecular, cellular and developmental biology, bioinformatics, genomics, evolutionary biology, and more. Are you passionate about uncovering the
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the European Regional Development Fund (FEDER), through COMPETE2030, under the following conditions: Type of Grant: Research Grant (BI) – PhD level Scientific Area: Microbiology, Bioinformatics and Computational
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of the contact activation system. Education or documented training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Education or documented training in