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the world. We are seeking a highly motivated Postdoctoral Researcher with expertise in large-scale omics data analysis to establish an innovative multi-omics data integration workflow. This unique position
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, proteomic, metabolomic, and phenotypic data) using cutting-edge technologies, such as machine learning You will perform transcriptomic and epigenetic analysis You will present scientific results at project
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12 Mar 2025 Job Information Organisation/Company Technische Universität Ilmenau Department Human Ressources Research Field Mathematics Researcher Profile Recognised Researcher (R2) Positions PhD
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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molecular data Your profile PhD in computer science, mathematics, physics or related fields Experience in machine learning and AI, with proven codebase in public repositories Experience or strong willingness
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of molecular, histopathological and clinical data in the world. We are seeking a highly motivated Postdoctoral Researcher with expertise in large-scale omics data analysis to establish an innovative multi-omics
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical data, developing new drugs and treatments, analyzing biomedical images, and integrating multi
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discovery Single-cell multiome data analysis at ultra-large scale (>100 000 cells per donor) Spatial transcriptomics Clonal evolution and phylogeny Copy-number changes and complex rearrangements and their