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Field
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions between the human organism and food
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gradient Bioinformatic and statistical analyses Relate environmental variables to microbial dynamics Meso- und Microcosm experiments Contributions to IGB’s scientific activities and publications Your profile
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strongly desirable. You have experience in molecular biological and/ or biochemical techniques, esp. cytogenetic and PCR. Basics in bioinformatics and/or cytogenetic skills are of advantage. You have problem
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or population genetics/genomics and have a strong interest in studying genetic biodiversity. Previous experience with molecular lab work is a must; additional skills in bioinformatics and/or statistics
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approach combining molecular biology, genetics, genomics, epigenomics, metabolomics, biochemistry, biophysics and microscopy with bioinformatics and modelling. We work with Arabidopsis thaliana, tobacco
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bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools. Experience in the automated
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
nextgeneration sequencing platforms, bioinformatics resources, and biosafety level 2 laboratory facilities, offering excellent conditions for doctoral training and scientific development. YOUR QUALIFICATION
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput