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Field
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proteomics, and structural biology, you will explore the molecular interface between viruses and the cellular translation machinery. This PhD project offers comprehensive training in structural biology
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health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive dynamical models and digital decision-support tools for nutrition and health method development in
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field Proven experience in programming (e.g. Python, R) and bioinformatics tools/workflows for genomic, transcriptomic, proteomic and/or epigenomic analyses. Hands-on laboratory experience in molecular
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maintenance units, the CIC has a number of specialized technical facilities for Diagnostic Molecular Pathology, Genomics & Proteomics, Bioinformatics, Flow Cytometry, Advanced Microscopy, Structural Biology and
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The project aims to develop large-scale self-supervised models trained on rich, longitudinal health data, including: Medical records Lifestyle data Biological samples (genomics, transcriptomics, proteomics, etc
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, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems
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biology bioinformatics genomics and proteomics microbiology and microbiome science ecology evolutionary biology Our concept is supported by the facilities available at the participating laboratories
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technologies (live imaging, genomics, proteomics, etc.) and soft skills courses (scientific writing, presentation skills, intellectual property rights, project management, good scientific practice, career
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
biology, proteomics, bioinformatics and functional genomics. We train doctoral researchers to become self-reliant and to acquire and utilise the knowledge necessary for their research projects. We offer
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researchers. The courses on offer cover a wide spectrum of fields reflecting the variety of institutes involved in the programme. These range from flow-cytometry and two-photon microscopy to genome and proteome