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Field
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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components of organisms’ general life-history decisions. The work involves accumulation of mutations in different fly lines, extracting DNA and building libraries for sequencing, as well as bioinformatics
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 4 days ago
with interdisciplinary approaches, combining methods of microbiology, natural product chemistry, biotechnology, immunobiology, bioinformatics and systems biology. The ILRS faculty is composed
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Science is training researchers in functional genomics, quantitative proteomics, bioimaging, computational biology, and bioinformatics. Course organisation The IMPRS for Genome Science programme is embedded
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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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. Enthusiasm for fundamental research in gene regulation and metabolism. Experience with molecular biology techniques; exposure to genomics, proteomics, metabolomics, or bioinformatics is advantageous. Strong
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in additional aspects of biology, bioinformatics and genomics required for successful completion of the programme. The ability to work as part of a team, an interest in industrially focused research
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, translation studies, RNA-seq, and/or applicable bioinformatics is considered an advantage. Furthermore, successful applicants are expected to be competitive in national and international funding schemes. Good
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RNAseq, histology, flow cytometry, microscopy, bioinformatics and general cell and biochemical work. The period of employment for the position is 3 years, preferably starting in Fall-Winter 2025. Our
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medicine. As a PhD student, you will: Build computational models that integrate molecular and genetic data to study possible OA treatments. Develop bioinformatics pipelines, network-based approaches