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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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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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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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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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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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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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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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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists