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to translate fundamental discoveries into sustainable agricultural applications and to enhance the climate resilience of crops. This PhD position will be embedded in the Bioinformatics and Evolutionary Genomics
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of samples, molecular biology experiments, and bioinformatics analysis. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency in scientific
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
to the publication of at least three papers, two relating to the diversification of SA Asteraceae and one relating to the GBG-based project (see above). Analytical methodologies potentially include bioinformatic
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for the daily maintenance of the lab, the organization and management of our large collection of samples, molecular biology experiments, and bioinformatics analysis. The candidate will work in a multidisciplinary
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patient-level trajectories. Who we are looking for: We welcome applicants with a Master's degree in developmental biology, stem cell biology, neuroscience, bioinformatics, or a related biomedical discipline
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the following programmes: Biology Chemistry Computer Science Geoscience Mathematics Molecular Biology and Genetics (incl. Molecular Medicine and Bioinformatics) Physics and Astronomy The University is located in
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-throughput sequencing and advanced bioinformatics; (iii) Discovery, characterization and evaluation of indigenous bacterial biocontrol organisms capable of suppressing rice grain rot.The successful candidate
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molecular biological methods and bioinformatics to analyse microbial communities in both laboratory-scale and full-scale biogas processes. The aim is to identify microorganisms and microbial markers
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic