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Field
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months 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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
Your profile Currently pursuing or recently obtained a Master's or equivalent degree in Computer Science, Bioinformatics, Computational Biology, Biology, or a related field Demonstrated proficiency in
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resources, located on a green campus, and near the cultural centers Köln, Düsseldorf, and Aachen. The Jülich campus also hosts a vibrant biophysics, bioinformatics and structural biology community
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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 months ago
academic training, scientific visibility, and professional network. Required A Master’s degree (or equivalent) in a relevant field, such as epidemiology, bioinformatics, medicine, biomedical sciences, or a
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
in computational biology, bioinformatics, computer science, mathematics, biomedical sciences, or a related field Strong expertise in machine learning, AI, and computational data analysis Solid
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immune cell function and its role in diseases such as cancer and autoimmunity. It will train 15 Doctoral Candidates in interdisciplinary research combining immunology, bioinformatics, metabolism, and drug
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will be matched with PIs’ projects. Who can apply? We are looking for excellent candidates with a completed Master’s degree in various fields (Life Sciences, Bioinformatics, Mathematics, Physics
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experience in bioinformatic analysis (bulk RNAseq, scRNAseq, proteome) Excellent teamwork and communication skills Solid experience with flow cytometry and fluorescence-activated cell sorting (FACS) FELASA