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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
English. Additional qualifications: It is advantageous to have experience in one or more of the following areas: Electron microscopy (environmental TEM and SEM) Large data image treatment Corrosion
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resolution across large genomic datasets. We focus on cancer models (osteosarcoma, breast cancer, leukemia) and on neural progenitor cells to understand how genome instability contributes to tumor initiation
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characterization. Proteomics today captures only half the story. By focusing almost exclusively on positively charged peptides, current approaches miss a large class of acidic biomolecules. This project challenges
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Job description: At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around
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master’s degree (or equivalent) in neurosciences, biochemistry, genetics, data science or related disciplines English (at least C1 level) Willingness to participate in prolonged research stays (secondments
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Job description: At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who
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data. We have developed in vivo single-cell CRISPR technologies to screen for dozens of molecular factors in vivo during developmental and disease. These technologies are a game-changer in the speed
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language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines
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and ecohydrology would be ideal but is not required. Experience in big data analysis, data science methods, Machine learning and/or artificial intelligence would be a strong asset. ·You enjoy both